[1455] | 1 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 2 | % Using WARPLab (SISO configuration) to Transmit Bits Over a Wireless |
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| 3 | % Channel . |
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| 4 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 5 | |
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| 6 | % This matlab srcipt generates a bitstream, modulates the bitstream using |
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| 7 | % DQPSK, transmits the modulated symbols over a wireless channel using |
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| 8 | % WARPLab, and demodulates the received signal to obtain the |
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| 9 | % transmitted bits. Bit error rate (BER) is computed by comparing the |
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| 10 | % transmitted bitstream with the bitstream recovered at the receiver |
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| 11 | |
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| 12 | % The specific steps implemented in this script are the following: |
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| 13 | |
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| 14 | % 0. Initialization, define paramters, create pulse shaping filter, and |
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| 15 | % create reference matrix for detection of preamble |
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| 16 | % 1. Generate a random bit stream and map it to symbols |
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| 17 | % 2. Modulate the symbols (map symbols to constellation points) and append |
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| 18 | % preamble symbols |
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| 19 | % 3. Upsample the modulated symbols with the appended preamble and filter |
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| 20 | % using a pulse shaping filter |
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| 21 | % 4. Upconvert from baseband to 5MHz to avoid radio DC attenuation |
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| 22 | % 5. Transmit the signal over a wireless channel using Warplab |
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| 23 | % 6. Downconvert from 5MHz to baseband |
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| 24 | % 7. Filter the received signal with a Matched Filter (matched to the pulse |
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| 25 | % shaping filter), detect preamble, and downsample output of Matched Filter |
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| 26 | % 8. Demodulate and recover the transmitted bitstream |
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| 27 | % 9. Compute the Bit Error Rate (BER) and close sockets |
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| 28 | |
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| 29 | % Part of this code was adapted from Matlab's commdoc_mod and commdoc_rrc |
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| 30 | % examples. |
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| 31 | |
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| 32 | % You will write a matlab script that implements the ten steps above. |
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| 33 | % Part of the code is provided, some part of the code you will write. Read |
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| 34 | % the code below and fill in with your code wherever you are asked to do |
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| 35 | % so. |
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| 36 | |
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| 37 | % NOTE : To avoid conflict with other groups using the boards, please |
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| 38 | % test the code you write in this script in any of the following three |
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| 39 | % ways: |
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| 40 | % |
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| 41 | % Option 1. Run this script from matlab's Command Window by entering the |
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| 42 | % name of the script (enter warplab_siso_example_Comm_WorkshopExercise |
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| 43 | % in matlab's Command Window). |
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| 44 | % Option 2. In the menu bar go to Debug and select Run. If there |
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| 45 | % are errors in the code, error messages will appear in the Command Window. |
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| 46 | % Option 3. Press F5. If the are errors in the code, error messages will |
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| 47 | % appear in the Command Window. |
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| 48 | % |
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| 49 | % DO NOT USE the Evaluate selection option and DO NOT run the script by |
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| 50 | % sections. To test any change, always run the whole script by following |
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| 51 | % any of the three options above. |
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| 52 | |
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| 53 | try, |
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| 54 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 55 | % Code to avoid conflict between users, only needed for the workshop, go to |
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| 56 | % step 0 below to start the initialization and definition of parameters |
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| 57 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 58 | % fid = fopen('c:\boards_lock.txt'); |
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| 59 | % |
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| 60 | % if(fid > -1) |
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| 61 | % fclose('all'); |
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| 62 | % errordlg('Boards already in use - Please try again!'); |
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| 63 | % return; |
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| 64 | % end |
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| 65 | % |
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| 66 | % !echo > c:\boards_lock.txt |
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| 67 | |
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| 68 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 69 | % 0. Initialization, define paramters, create pulse shaping filter, and |
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| 70 | % create reference matrix for detection of preamble |
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| 71 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 72 | % Define basic parameters |
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| 73 | M = 4; % Size of signal constellation |
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| 74 | k = log2(M); % Number of bits per symbol |
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| 75 | nsamp = 8; % Oversampling rate or Number of samples per symbol |
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| 76 | |
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| 77 | % Define parameters related to the pulse shaping filter and create the |
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| 78 | % pulse shaping filter |
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| 79 | % This pulse shaping filter is a Squared Root Raised Cosine (SRRC) filter |
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| 80 | filtorder = 64; % Filter order |
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| 81 | delay = filtorder/(nsamp*2); % Group delay (# of input samples). Group |
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| 82 | % delay is the time between the input to the filter and the filter's peak |
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| 83 | % response counted in number of input samples. In number of output samples |
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| 84 | % the delay would be equal to 'delay*nsam'. |
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| 85 | rolloff = 0.3; % Rolloff factor of filter |
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| 86 | rrcfilter = rcosine(1,nsamp,'fir/sqrt',rolloff,delay); % Create SRRC filter |
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| 87 | |
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| 88 | % Plot the filter's impulse response in a stem plot |
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| 89 | figure; % Create new figure window. |
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| 90 | stem(rrcfilter); |
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| 91 | title('Raised Cosine Impulse Response'); |
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| 92 | xlabel('n (samples)'); ylabel('Amplitude'); |
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| 93 | |
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| 94 | % Define number of symbols to process, number of bits to process, and the |
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| 95 | % preamble. |
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| 96 | % The Warplab transmit buffer can store a maximum of 2^14 samples, the |
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| 97 | % number of samples per symbol is equal 'nsam', and the SRRC filter delay |
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| 98 | % in number of samples is equal to 'delay*nsam'. Consequently, the total |
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| 99 | % number of symbols to be transmitted must be less than |
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| 100 | % (2^14-200)/nsam-2*delay. We subtract extra 200 to account for jitter in |
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| 101 | % sync trigger. |
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| 102 | nsym = floor((2^14-200)/nsamp-2*delay); % Number or symbols to transmit |
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| 103 | preamble = [-1;-1;-1;1;-1;0;0;0;0;0;0;0;0]; % Preamble is a Barker sequence |
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| 104 | % modulated with BPSK |
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| 105 | nsym_preamble = length(preamble); % number of symbols in preamble |
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| 106 | nsym_payload = nsym-nsym_preamble; |
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| 107 | nbits = floor(nsym_payload*k); % Number of bits to process |
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| 108 | |
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| 109 | % Create a reference matrix used for detection of the preamble in the |
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| 110 | % received signal. We will correlate the received signal with the reference |
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| 111 | % matrix |
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| 112 | preamble_upsamp = upsample(preamble,nsamp); % Upsample preamble |
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| 113 | length_preamble_upsamp = length(preamble_upsamp); |
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| 114 | corr_window = 300; % We expect to find the preamble within the first |
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| 115 | % 300 received samples |
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| 116 | reference_samples = zeros(corr_window,1); % Create reference vector. |
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| 117 | reference_samples(1:length_preamble_upsamp) = preamble_upsamp; |
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| 118 | % First samples of reference vector correspond to the |
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| 119 | % preamble upsampled |
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| 120 | reference_matrix = toeplitz(reference_samples,... |
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| 121 | circshift(reference_samples(corr_window:-1:1),1)); |
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| 122 | % Create reference matrix. The first column of the reference |
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| 123 | % matrix is equal to the reference_samples vector. The i-th column |
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| 124 | % of the reference matrix is equal to circular shift of the |
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| 125 | % reference samples vector, it is a shift down by i samples. |
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| 126 | |
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| 127 | |
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| 128 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 129 | % 1. Generate a random bit stream and map it to symbols |
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| 130 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 131 | |
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| 132 | %-------------------------------------------------------------------------% |
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| 133 | % USER CODE HERE |
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| 134 | |
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| 135 | % Create a random binary data stream as a column vector. The number of |
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| 136 | % elements is equal to 'nbits'. You can use Matlab's 'randint' function. |
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| 137 | % Store the vector in a variable named 'x' |
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| 138 | |
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| 139 | %-------------------------------------------------------------------------% |
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| 140 | |
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| 141 | % Map bits in vector x into k-bit symbols |
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| 142 | xsym = bi2de(reshape(x,k,length(x)/k).','left-msb'); |
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| 143 | |
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| 144 | % Stem plot of bits and symbols |
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| 145 | % Plot first 40 bits in a stem plot. |
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| 146 | figure; |
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| 147 | subplot(2,1,1) |
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| 148 | stem(x(1:40),'filled'); |
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| 149 | title('Random Bits'); |
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| 150 | xlabel('Bit Index'); ylabel('Binary Value'); |
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| 151 | % Plot first 40/k symbols in a stem plot. |
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| 152 | subplot(2,1,2) |
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| 153 | stem(xsym(1:40/k),'filled'); |
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| 154 | title('Random Bits Mapped to Symbols'); |
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| 155 | xlabel('Symbol Index'); ylabel('Integer Value'); |
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| 156 | |
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| 157 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 158 | % 2. Modulate the symbols (map symbols to constellation points) and append |
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| 159 | % preamble symbols |
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| 160 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 161 | |
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| 162 | %-------------------------------------------------------------------------% |
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| 163 | % USER CODE HERE |
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| 164 | |
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| 165 | % Modulate the symbols in vector 'xsym' using DQPSK. You can use Matlab's |
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| 166 | % 'dpskmod' function. The alphabet or constellation size 'M' was set in |
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| 167 | % step 0 above as 'M=4'. Store the modulated symbols in a variable named |
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| 168 | % 'ytx_mod'. |
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| 169 | |
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| 170 | %-------------------------------------------------------------------------% |
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| 171 | |
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| 172 | % Append preamble |
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| 173 | ytx_mod = [preamble;ytx_mod]; |
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| 174 | |
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| 175 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 176 | % 3. Upsample the modulated symbols with the appended preamble and filter |
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| 177 | % using a pulse shaping filter |
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| 178 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 179 | % Upsample and apply square root raised cosine filter. |
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| 180 | ytx_mod_filt = rcosflt(ytx_mod,1,nsamp,'filter',rrcfilter); |
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| 181 | |
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| 182 | % Stem Plot of modulated symbols before and after Squared Root Raised |
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| 183 | % Cosine (SRRC) filter |
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| 184 | % Plots first 30 symbols. |
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| 185 | % Plots I and Q in different windows |
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| 186 | figure; % Create new figure window. |
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| 187 | subplot(2,1,1) |
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| 188 | stem([1:nsamp:nsamp*30],real(ytx_mod(1:30))); |
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| 189 | hold |
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| 190 | stem(real(ytx_mod_filt(1+delay*nsamp:1+30*nsamp+delay*nsamp)),'r'); |
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| 191 | title('I Signal'); |
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| 192 | xlabel('n (sample)'); ylabel('Amplitude'); |
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| 193 | legend('Before SRRC Filter','After SRRC Filter'); |
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| 194 | subplot(2,1,2) |
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| 195 | stem([1:nsamp:nsamp*30],imag(ytx_mod(1:30))); |
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| 196 | hold |
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| 197 | stem(imag(ytx_mod_filt(1+delay*nsamp:1+30*nsamp+delay*nsamp)),'r'); |
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| 198 | title('Q Signal'); |
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| 199 | xlabel('n (sample)'); ylabel('Amplitude'); |
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| 200 | |
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| 201 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 202 | % 4. Upconvert from baseband to 5MHz to avoid radio DC attenuation |
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| 203 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 204 | time = [0:1:length(ytx_mod_filt)-1]/40e6; % Sampling Freq. is 40MHz |
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| 205 | ytx_mod_filt_up = ytx_mod_filt .* exp(sqrt(-1)*2*pi*5e6*time).'; |
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| 206 | |
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| 207 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 208 | % 5. Transmit the signal over a wireless channel using Warplab |
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| 209 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 210 | % Follow the steps for transmission and reception of data using Warplab. |
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| 211 | % These are the steps in the matlab script warplab_example_TxRx.m |
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| 212 | |
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| 213 | % In this example the vector to transmit is the 'ytx_mod_filt' vector. |
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| 214 | |
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| 215 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 216 | % 5.0. Initializaton and definition of parameters |
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| 217 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 218 | %Load some global definitions (packet types, etc.) |
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| 219 | warplab_defines |
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| 220 | |
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| 221 | % Create Socket handles and intialize nodes |
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| 222 | [socketHandles, packetNum] = warplab_initialize; |
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| 223 | |
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| 224 | % Separate the socket handles for easier access |
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| 225 | % The first socket handle is always the magic SYNC |
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| 226 | % The rest of the handles are the handles to the WARP nodes |
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| 227 | udp_Sync = socketHandles(1); |
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| 228 | udp_node1 = socketHandles(2); |
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| 229 | udp_node2 = socketHandles(3); |
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| 230 | |
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| 231 | % Define WARPLab parameters. |
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| 232 | %-------------------------------------------------------------------------% |
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| 233 | % USER CODE HERE |
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| 234 | |
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| 235 | % Create the following variables and assign them valid values: |
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| 236 | % TxDelay: Value of the Transmitter Delay. For this exercise set TxDelay |
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| 237 | % equal to 100. This value of TxDelay will allow detection |
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| 238 | % of the preamble if there is a jitter of 100 samples or less |
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| 239 | % in the sync trigger (if transmission is triggered 100 samples |
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| 240 | % or less before capture is triggered). |
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| 241 | % TxLength : Length of transmission or number of samples to transmit. |
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| 242 | % In [0:2^14-TxDelay] |
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| 243 | % For this exercise the vector to transmit is the 'ytx_mod_filt_up' |
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| 244 | % vector. Set TxLength equal to the length of the 'ytx_mod_filt_up' |
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| 245 | % vector. You can use Matlab's 'length' function. |
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| 246 | % CarrierChannel: Channel in the 2.4 GHz band. In [1:14] |
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| 247 | % Node1_Radio2_TxGain_BB: Tx Baseband Gain. In [0:3] |
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| 248 | % Node1_Radio2_TxGain_RF: Tx RF Gain. In [0:63] |
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| 249 | % Node2_Radio2_RxGain_BB: Rx Baseband Gain. In [0:31] |
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| 250 | % Node2_Radio2_RxGain_RF: Rx RF Gain. In [1:3] |
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| 251 | |
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| 252 | % Note: For this experiment node 1 will be set as the transmitter and node |
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| 253 | % 2 will be set as the receiver (this is done later in the code), hence, |
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| 254 | % there is no need to define receive gains for node 1 and there is no |
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| 255 | % need to define transmitter gains for node 2. |
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| 256 | |
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| 257 | %-------------------------------------------------------------------------% |
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| 258 | |
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| 259 | TxMode = 0; % Transmission mode. In [0:1] |
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| 260 | % 0: Single Transmission |
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| 261 | % 1: Continuous Transmission. Tx board will continue |
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| 262 | % transmitting the vector of samples until the user manually |
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| 263 | % disables the transmitter. |
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| 264 | |
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| 265 | % Download the WARPLab parameters to the WARP nodes. |
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| 266 | % The nodes store the TxDelay, TxLength, and TxMode parameters in |
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| 267 | % registers defined in the WARPLab sysgen model. The nodes set radio |
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| 268 | % related parameters CarrierChannel, TxGains, and RxGains, using the |
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| 269 | % radio controller functions. |
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| 270 | |
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| 271 | % The TxDelay, TxLength, and TxMode parameters need to be known at the transmitter; |
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| 272 | % the receiver doesn't require knowledge of these parameters (the receiver |
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| 273 | % will always capture 2^14 samples). For this exercise node 1 will be set as |
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| 274 | % the transmitter (this is done later in the code). Since TxDelay, TxLength and |
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| 275 | % TxMode are only required at the transmitter we download the TxDelay, TxLength and |
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| 276 | % TxMode parameters only to the transmitter node (node 1). |
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| 277 | |
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| 278 | warplab_writeRegister(udp_node1,TX_DELAY,TxDelay); |
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| 279 | warplab_writeRegister(udp_node1,TX_LENGTH,TxLength); |
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| 280 | warplab_writeRegister(udp_node1,TX_MODE,TxMode); |
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| 281 | % The CarrierChannel parameter must be downloaded to all nodes |
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| 282 | warplab_setRadioParameter(udp_node1,CARRIER_CHANNEL,CarrierChannel); |
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| 283 | warplab_setRadioParameter(udp_node2,CARRIER_CHANNEL,CarrierChannel); |
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| 284 | % Node 1 will be set as the transmitter so download Tx gains to node 1. |
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| 285 | warplab_setRadioParameter(udp_node1,RADIO2_TXGAINS,(Node1_Radio2_TxGain_RF + Node1_Radio2_TxGain_BB*2^16)); |
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| 286 | % Node 2 will be set as the receiver so download Rx gains to node 2. |
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| 287 | warplab_setRadioParameter(udp_node2,RADIO2_RXGAINS,(Node2_Radio2_RxGain_BB + Node2_Radio2_RxGain_RF*2^16)); |
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| 288 | |
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| 289 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 290 | % 5.1. Generate a vector of samples to transmit and send the samples to the |
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| 291 | % WARP board (Sample Frequency is 40MHz) |
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| 292 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 293 | % Prepare some data to be transmitted |
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| 294 | |
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| 295 | % Scale signal to transmit so that it spans [-1,1] range. We do this to |
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| 296 | % use the full range of the DAC at the tranmitter |
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| 297 | scale = 1 / max( [ max(real(ytx_mod_filt_up)) , max(imag(ytx_mod_filt_up)) ] ); |
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| 298 | ytx_mod_filt_up = scale*ytx_mod_filt_up; |
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| 299 | |
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| 300 | Node1_Radio2_TxData = ytx_mod_filt_up.'; % Create a signal to transmit. Signal must be a |
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| 301 | % row vector |
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| 302 | |
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| 303 | % Download the samples to be transmitted |
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| 304 | %-------------------------------------------------------------------------% |
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| 305 | % USER CODE HERE |
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| 306 | % Download the 'Node1_Radio2_TxData' vector to WARP node 1 using the |
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| 307 | % 'warplab_writeSMWO' function. The 'Node1_Radio2_TxData' vector is the |
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| 308 | % vector of samples to be transmitted. |
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| 309 | |
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| 310 | % Hints: |
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| 311 | |
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| 312 | % 1. The first argument of the 'warplab_writeSMWO' function identifies the |
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| 313 | % node to which samples will be downloaded to. In this exercise we will set |
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| 314 | % node 1 as the transmitter node, the id or handle to node 1 is 'udp_node1'. |
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| 315 | |
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| 316 | % 2. The second argument of the 'warplab_writeSMWO' function identifies the |
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| 317 | % transmit buffer where the samples will be written. For this exercise we |
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| 318 | % will transmit from radio 2, hence, samples must be downloaded to radio 2 |
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| 319 | % Tx buffer, the id for this buffer is 'RADIO2_TXDATA'. |
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| 320 | |
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| 321 | % 3. The third argument of the 'warplab_writeSMWO' function is the |
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| 322 | % vector of samples to download, it must be a row vector. For this |
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| 323 | % exercise the 'Node1_Radio2_TxData' vector is the vector of samples to be |
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| 324 | % transmitted, hence, this is the vector that must be downloaded to radio 2 |
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| 325 | % Tx buffer. |
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| 326 | |
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| 327 | % 4. The 'warplab_writeSMWO' function was used in the previous exercise. |
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| 328 | |
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| 329 | %-------------------------------------------------------------------------% |
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| 330 | |
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| 331 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 332 | % 5.2. Prepare WARP boards for transmission and reception and send trigger to |
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| 333 | % start transmission and reception (trigger is the SYNC packet) |
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| 334 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 335 | % The following lines of code set node 1 as transmitter and node 2 as |
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| 336 | % receiver; transmission and capture are triggered by sending the SYNC |
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| 337 | % packet. |
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| 338 | |
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| 339 | %-------------------------------------------------------------------------% |
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| 340 | % USER CODE HERE |
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| 341 | % Enable transmitter radio path in radio 2 in node 1 (enable radio 2 in |
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| 342 | % node 1 as transmitter) by sending the RADIO2_TXEN command to node 1 using |
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| 343 | % the 'warplab_sendCmd' function. |
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| 344 | |
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| 345 | % Hints: |
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| 346 | |
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| 347 | % 1. The first argument of the 'warplab_sendCmd' function identifies the |
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| 348 | % node to which the command will be sent to. The id or handle to node 1 is |
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| 349 | % 'udp_node1'. |
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| 350 | |
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| 351 | % 2. The second argument of the 'warplab_sendCmd' function identifies the |
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| 352 | % command that will be sent. |
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| 353 | |
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| 354 | % 3. The third argument of the 'warplab_sendCmd' command is a field that is |
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| 355 | % not used at the moment, it may be used in future versions of WARPLab to |
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| 356 | % keep track of packets. Use 'packetNum' as the third argument of the |
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| 357 | % 'warplab_sendCmd' command. |
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| 358 | |
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| 359 | % 4. The 'warplab_sendCmd' function was used in the previous exercise. |
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| 360 | |
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| 361 | %-------------------------------------------------------------------------% |
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| 362 | |
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| 363 | %-------------------------------------------------------------------------% |
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| 364 | % USER CODE HERE |
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| 365 | % Enable transmission of node1's radio 2 Tx buffer (enable transmission |
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| 366 | % of samples stored in radio 2 Tx Buffer in node 1) by sending the |
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| 367 | % RADIO2TXBUFF_TXEN command to node 1 using the 'warplab_sendCmd' function. |
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| 368 | |
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| 369 | %-------------------------------------------------------------------------% |
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| 370 | |
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| 371 | %-------------------------------------------------------------------------% |
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| 372 | % USER CODE HERE |
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| 373 | % Enable receiver radio path in radio 2 in node 2 (enable radio 2 in |
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| 374 | % node 2 as receiver) by sending the RADIO2_RXEN command to node 2 using |
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| 375 | % the 'warplab_sendCmd' function. |
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| 376 | % Hint: The id or handle to node 2 is 'udp_node2'. |
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| 377 | |
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| 378 | %-------------------------------------------------------------------------% |
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| 379 | |
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| 380 | %-------------------------------------------------------------------------% |
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| 381 | % USER CODE HERE |
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| 382 | |
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| 383 | % Enable capture in node2's radio 2 Rx Buffer (enable radio 2 rx buffer in |
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| 384 | % node 2 for storage of samples) by sending the RADIO2RXBUFF_RXEN command to |
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| 385 | % node 2 using the 'warplab_sendCmd' function. |
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| 386 | |
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| 387 | %-------------------------------------------------------------------------% |
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| 388 | |
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| 389 | % Prime transmitter state machine in node 1. Node 1 will be |
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| 390 | % waiting for the SYNC packet. Transmission from node 1 will be triggered |
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| 391 | % when node 1 receives the SYNC packet. |
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| 392 | warplab_sendCmd(udp_node1, TX_START, packetNum); |
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| 393 | |
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| 394 | % Prime receiver state machine in node 2. Node 2 will be waiting |
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| 395 | % for the SYNC packet. Capture at node 2 will be triggered when node 2 |
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| 396 | % receives the SYNC packet. |
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| 397 | warplab_sendCmd(udp_node2, RX_START, packetNum); |
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| 398 | |
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| 399 | % Send the SYNC packet |
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| 400 | warplab_sendSync(udp_Sync); |
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| 401 | |
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| 402 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 403 | % 5.3. Read the received smaples from the Warp board |
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| 404 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 405 | %-------------------------------------------------------------------------% |
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| 406 | % USER CODE HERE |
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| 407 | |
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| 408 | % Read the received samples from the WARP board using the |
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| 409 | % 'warplab_readSMRO' function. Store the samples in a variable named |
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| 410 | % 'Node2_Radio2_RawRxData' |
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| 411 | |
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| 412 | % Hints: |
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| 413 | |
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| 414 | % 1. The first argument of the 'warplab_readSMRO' function identifies the |
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| 415 | % node from which samples will be read. In this exercise we set node 2 as |
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| 416 | % the receiver node, the id or handle to node 2 is 'udp_node2'. |
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| 417 | |
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| 418 | % 2. The second argument of the 'warplab_readSMRO' function identifies the |
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| 419 | % receive buffer from which samples will be read. For this exercise samples |
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| 420 | % were captured in node 2 radio 2, hence, samples must be read from radio 2 |
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| 421 | % Rx buffer, the id for this buffer is 'RADIO2_RXDATA'. |
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| 422 | |
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| 423 | % 3. The third argument of the 'warplab_readSMRO' function is the number of |
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| 424 | % samples to read; reading of samples always starts from address zero. |
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| 425 | % For this exercise set third argument of the 'warplab_readSMRO' |
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| 426 | % function equal to 'TxLength+CaptOffset+100' (Read extra 100 samples to |
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| 427 | % account for jitter in sync trigger) |
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| 428 | |
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| 429 | % 4. The 'warplab_readSMRO' function was used in the previous exercise. |
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| 430 | |
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| 431 | %-------------------------------------------------------------------------% |
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| 432 | |
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| 433 | % Process the received samples to obtain meaningful data |
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| 434 | [Node2_Radio2_RxData,Node2_Radio2_RxOTR] = warplab_processRawRxData(Node2_Radio2_RawRxData); |
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| 435 | |
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| 436 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 437 | % 5.4. Reset and disable the boards |
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| 438 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 439 | % Set radio 2 Tx buffer in node 1 back to Tx disabled mode |
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| 440 | warplab_sendCmd(udp_node1, RADIO2TXBUFF_TXDIS, packetNum); |
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| 441 | |
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| 442 | % Disable the transmitter radio |
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| 443 | warplab_sendCmd(udp_node1, RADIO2_TXDIS, packetNum); |
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| 444 | |
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| 445 | % Set radio 2 Rx buffer in node 2 back to Rx disabled mode |
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| 446 | warplab_sendCmd(udp_node2, RADIO2RXBUFF_RXDIS, packetNum); |
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| 447 | |
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| 448 | % Disable the receiver radio |
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| 449 | warplab_sendCmd(udp_node2, RADIO2_RXDIS, packetNum); |
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| 450 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 451 | % 5.5. Plot the transmitted and received data |
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| 452 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 453 | figure; |
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| 454 | subplot(2,2,1); |
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| 455 | plot(real(Node1_Radio2_TxData)); |
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| 456 | title('Tx Node 1 Radio 2 I'); |
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| 457 | xlabel('n (samples)'); ylabel('Amplitude'); |
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| 458 | axis([0 2^14 -1 1]); % Set axis ranges. |
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| 459 | subplot(2,2,2); |
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| 460 | plot(imag(Node1_Radio2_TxData)); |
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| 461 | title('Tx Node 1 Radio 2 Q'); |
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| 462 | xlabel('n (samples)'); ylabel('Amplitude'); |
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| 463 | axis([0 2^14 -1 1]); % Set axis ranges. |
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| 464 | subplot(2,2,3); |
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| 465 | plot(real(Node2_Radio2_RxData)); |
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| 466 | title('Rx Node 2 Radio 2 I'); |
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| 467 | xlabel('n (samples)'); ylabel('Amplitude'); |
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| 468 | axis([0 2^14 -1 1]); % Set axis ranges. |
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| 469 | subplot(2,2,4); |
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| 470 | plot(imag(Node2_Radio2_RxData)); |
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| 471 | title('Rx Node 2 Radio 2 Q'); |
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| 472 | xlabel('n (samples)'); ylabel('Amplitude'); |
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| 473 | axis([0 2^14 -1 1]); % Set axis ranges. |
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| 474 | |
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| 475 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 476 | % 6. Downconvert from 5MHz to baseband |
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| 477 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 478 | time = [0:1:length(Node2_Radio2_RxData)-1]/40e6; % Sampling Freq. is 40MHz |
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| 479 | yrx_bb = Node2_Radio2_RxData .* exp(-sqrt(-1)*2*pi*5e6*time); |
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| 480 | |
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| 481 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 482 | % 7. Filter the received signal with a Matched Filter (matched to the pulse |
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| 483 | % shaping filter), detect preamble, and downsample output of Matched Filter |
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| 484 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 485 | % Store received samples as a column vector |
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| 486 | yrx_bb = yrx_bb.'; |
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| 487 | |
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| 488 | % Matched filter: Filter received signal using the SRRC filter |
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| 489 | yrx_bb_mf = rcosflt(yrx_bb,1,nsamp,'Fs/filter',rrcfilter); |
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| 490 | |
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| 491 | % Correlate with the reference matrix to find preamble sequence |
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| 492 | correlation = abs( (yrx_bb_mf(1:corr_window).') * reference_matrix ); |
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| 493 | preamble_start = find(correlation == max(correlation)); % Start of preamble |
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| 494 | first_sample_index = preamble_start+length_preamble_upsamp; % Start of |
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| 495 | % first symbol after preamble |
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| 496 | |
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| 497 | % Downsample output of Matched Filter |
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| 498 | yrx_bb_mf_ds = yrx_bb_mf(first_sample_index:end); |
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| 499 | yrx_bb_mf_ds = downsample(yrx_bb_mf_ds,nsamp); |
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| 500 | |
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| 501 | % Slice symbols of interest (nsym_payload symbols were transmitted so if |
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| 502 | % yrx_bb_mf_ds has more than nsym_payload elements the extra elements of the |
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| 503 | % yrx_bb_mf_ds vector are due to the extra samples read from the Rx buffer |
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| 504 | % and the extra samples added by the delay of the filters) |
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| 505 | yrx_bb_mf_ds = yrx_bb_mf_ds(1:nsym_payload); |
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| 506 | |
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| 507 | % Stem Plot of signal before Matched Filter, after Matched Filter, and |
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| 508 | % after downsampling |
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| 509 | % Plots first 30 symbols. |
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| 510 | % Plots real and imaginary parts in different windows |
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| 511 | figure; % Create new figure window. |
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| 512 | subplot(2,1,1) |
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| 513 | stem(real(yrx_bb(first_sample_index-(1+delay*nsamp):first_sample_index-(1+delay*nsamp)+30*nsamp)),'b'); |
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| 514 | hold |
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| 515 | stem(real(yrx_bb_mf(first_sample_index:first_sample_index+30*nsamp)),'r'); |
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| 516 | stem([1:nsamp:nsamp*30],real(yrx_bb_mf_ds(1:30)),'k'); |
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| 517 | title('I Symbols'); |
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| 518 | xlabel('n (sample)'); ylabel('Amplitude'); |
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| 519 | legend('Before Matched Filter','After Matched Filter','After Downsample'); |
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| 520 | subplot(2,1,2) |
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| 521 | stem(imag(yrx_bb(first_sample_index-(1+delay*nsamp):first_sample_index-(1+delay*nsamp)+30*nsamp)),'b'); |
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| 522 | hold |
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| 523 | stem(imag(yrx_bb_mf(first_sample_index:first_sample_index+30*nsamp)),'r'); |
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| 524 | stem([1:nsamp:nsamp*30],imag(yrx_bb_mf_ds(1:30)),'k'); |
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| 525 | title('Q Symbols'); |
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| 526 | xlabel('n (sample)'); ylabel('Amplitude'); |
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| 527 | |
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| 528 | % Scatter Plot of received and transmitted constellation points |
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| 529 | h = scatterplot(yrx_bb_mf_ds(1:end),1,0,'g.'); |
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| 530 | hold on; |
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| 531 | scatterplot(ytx_mod(nsym_preamble+1:end),1,0,'k*',h); |
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| 532 | title('Constellations'); |
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| 533 | legend('Received','Transmitted'); |
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| 534 | axis([-2 2 -2 2]); % Set axis ranges. |
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| 535 | hold off; |
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| 536 | |
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| 537 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 538 | % 8. Demodulate and recover the transmitted bitstream |
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| 539 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 540 | |
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| 541 | %-------------------------------------------------------------------------% |
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| 542 | % USER CODE HERE |
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| 543 | |
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| 544 | % Demodulate the 'yrx_bb_mf_ds' vector. Remember modulation is DQPSK. |
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| 545 | % You can use Matlab's 'dpskdemod' function. The alphabet or constellation |
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| 546 | % size 'M' was set in step 0 above as 'M=4'. Store the demodulated symbols |
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| 547 | % in a variable named 'zsym'. |
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| 548 | |
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| 549 | %-------------------------------------------------------------------------% |
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| 550 | |
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| 551 | % Map Symbols to Bits |
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| 552 | z = de2bi(zsym,'left-msb'); % Convert integers to bits. |
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| 553 | % Convert z from a matrix to a vector. |
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| 554 | z = reshape(z.',prod(size(z)),1); |
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| 555 | |
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| 556 | % Plot first 80 transmitted bits and first 80 received bits in a stem plot |
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| 557 | figure; |
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| 558 | subplot(2,1,1) |
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| 559 | stem(x(1:80),'filled'); |
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| 560 | title('Transmitted Bits'); |
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| 561 | xlabel('Bit Index'); ylabel('Binary Value'); |
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| 562 | subplot(2,1,2) |
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| 563 | stem(z(1:80),'filled'); |
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| 564 | title('Received Bits'); |
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| 565 | xlabel('Bit Index'); ylabel('Binary Value'); |
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| 566 | |
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| 567 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 568 | % 9. Compute the Bit Error Rate (BER) and close sockets |
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| 569 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 570 | % Compare x and z to obtain the number of errors and the bit error rate |
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| 571 | [number_of_errors,bit_error_rate] = biterr(x(3:length(z)),z(3:length(z))) |
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| 572 | % We start comparing at three because the first two bits are are always |
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| 573 | % lost in DQPSK. We compare until minlen because z may be shorter |
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| 574 | % than x due to the jitter of the synch pulse. |
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| 575 | |
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| 576 | % Close sockets |
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| 577 | pnet('closeall'); |
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| 578 | |
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| 579 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 580 | % Code to avoid conflict between users, only needed for the workshop |
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| 581 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 582 | % !del c:\boards_lock.txt |
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| 583 | catch, |
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| 584 | SocketHandleExists = exist('udp_node1'); |
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| 585 | if(1==SocketHandleExists) |
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| 586 | % If statement needed because user code errors may happen before the |
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| 587 | % packets are created |
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| 588 | % Reset nodes |
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| 589 | warplab_reset2x2Node(udp_node1); |
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| 590 | warplab_reset2x2Node(udp_node2); |
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| 591 | end |
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| 592 | % Close sockets |
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| 593 | pnet('closeall'); |
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| 594 | % !del c:\boards_lock.txt |
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| 595 | lasterr |
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| 596 | end |
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