mirror of https://github.com/PentHertz/srsLTE.git
49 lines
1.3 KiB
Matlab
49 lines
1.3 KiB
Matlab
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clear
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blen=40;
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SNR_values_db=linspace(-3,4,8);
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Nrealizations=50000;
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addpath('../../build/srslte/lib/fec/test')
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errors1=zeros(1,length(SNR_values_db));
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errors2=zeros(1,length(SNR_values_db));
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for snr_idx=1:length(SNR_values_db)
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SNRdB = SNR_values_db(snr_idx); % Desired SNR in dB
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SNR = 10^(SNRdB/20); % Linear SNR
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for i=1:Nrealizations
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Data = randi(2,blen,1)==1;
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codedData = lteConvolutionalEncode(Data);
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codedsymbols = 2*double(codedData)-1;
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%% Additive Noise
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N0 = 1/SNR;
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% Create additive white Gaussian noise
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noise = N0*randn(size(codedsymbols));
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noisysymbols = noise + codedsymbols;
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decodedData = lteConvolutionalDecode(noisysymbols);
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interleavedSymbols = reshape(reshape(noisysymbols,[],3)',1,[]);
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[decodedData2, quant] = srslte_viterbi(interleavedSymbols, 32);
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errors1(snr_idx) = errors1(snr_idx) + any(decodedData ~= Data);
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errors2(snr_idx) = errors2(snr_idx) + any(decodedData2 ~= Data);
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end
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end
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if (length(SNR_values_db) > 1)
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semilogy(SNR_values_db, errors1/Nrealizations, ...
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SNR_values_db, errors2/Nrealizations)
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grid on
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xlabel('SNR (dB)')
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ylabel('BLER')
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legend('Matlab','srsLTE');
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else
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disp(errors1);
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disp(errors2);
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disp(errors3);
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end |