numSymbs = 5e5; M = 4; rolloff = 0.5; Rsym = 2.5e10; % symbol rate (sym/sec) span = 6; % filter span sps = 4; % samples per symbol fs = Rsym * sps; % sampling freq (Hz) Tsamp = 1 / fs; t = (0 : 1 / fs : numSymbs / Rsym + (1.5 * span * sps - 1) / fs).'; EbN0_db = 0:0.2:14; EbN0 = 10 .^ (EbN0_db ./ 10); Es = 1; Eb = Es / log2(M); N0 = Eb ./ EbN0; EsN0 = EbN0 .* log2(M); EsN0_db = 10 .* log10(EsN0); plotlen = length(EbN0); ber = zeros(1, plotlen); data = randi([0 M - 1], numSymbs, 1); %%modData = dpskmod(data, M, pi / M, 'gray'); modData = dpskmod(data, M, 0, 'gray'); x = txFilter(modData, rolloff, span, sps); linewidthTx = 0; % Hz %%linewidthLO = 1e6; % Hz linewidthLO = Rsym * 1e-3; avgSa = 40; [xPN, pTxLO] = phaseNoise(x, linewidthTx, linewidthLO, Tsamp); for i = 1:plotlen snr = EbN0_db(i) + 10 * log10(log2(M)) - 10 * log10(sps); noiseEnergy = 10 ^ (-snr / 10); y = awgn(xPN, snr, 'measured'); r = rxFilter(y, rolloff, span, sps); %% normalize energy r = normalizeEnergy(r, numSymbs, 1 + noiseEnergy); rSampled = r(sps*span/2+1:sps:(numSymbs+span/2)*sps); [rSaPhEq, phiests] = phaseNoiseCorr(rSampled, M, avgSa); adaptiveFilterOut = adaptiveCMA(rSaPhEq.'); demodData = dpskdemod(rSaPhEq, M, 0, 'gray').'; demodAdapt = dpskdemod(adaptiveFilterOut, M, 0, 'gray'); [~, ber(i)] = biterr(data, demodData); if EbN0_db(i) == 8 figure(1234); plot(repelem(-phiests, sps)); hold on; plot(pTxLO); legend('estimate', 'actual'); hold off; figure(1); scatterplot(rSaPhEq); title('rSaPhEq'); end end figure(1); clf; %% Plot simulated results semilogy(EbN0_db, ber, 'r', 'LineWidth', 2); hold on; theoreticalPSK(EbN0_db, M, 'b', 'LineWidth', 1); legend({'Simulated phase noise + correction', 'Theoretical AWGN'}, ... 'Location', 'southwest'); title({'QPSK with phase nosie and correction', ... strcat(num2str(numSymbs * log2(M) / 1e3), '~kbit, LO~', ... num2str(linewidthLO / 1e6), '~MHz, Av~', num2str(avgSa), ... '~Sa')}); grid on; xlabel('$E_b/N_0$ (dB)'); ylabel('BER'); formatFigure;