X-Git-Url: https://adrianiainlam.tk/git/?a=blobdiff_plain;f=phasenoise1signal.m;h=f819e653fe0a75b9d78f2b0d5ce78678ea0350be;hb=6a44550d735c954aef8333e48a481670d85fd505;hp=e0ee39d5bda89f8a67a6bd3b80c4b536f569721b;hpb=1eeb62fbc496ed5c170d199143ad53e28122d29c;p=4yp.git

diff --git a/phasenoise1signal.m b/phasenoise1signal.m
index e0ee39d..f819e65 100644
--- a/phasenoise1signal.m
+++ b/phasenoise1signal.m
@@ -2,14 +2,14 @@ numSymbs = 10000;
 M = 4;
 
 Rsym = 2.5e10; % symbol rate (sym/sec)
-rolloff = 0.25;
+rolloff = 0.5;
 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)';
+t = (0 : 1 / fs : numSymbs / Rsym + (1.5 * span * sps - 1) / fs).';
 
 
 EbN0_db = 8;
@@ -24,50 +24,58 @@ EsN0_db = 10 .* log10(EsN0);
 
 
 data = randi([0 M - 1], numSymbs, 1);
-modData = pskmod(data, M, 0, 'gray');
+pskSym = pskmod(data, M, pi/M, 'gray');
+dpskSym = dpskmod(data, M, pi/M, 'gray');
 
-x = txFilter(modData, rolloff, span, sps);
+xPSK = txFilter(pskSym, rolloff, span, sps);
+xDPSK = txFilter(dpskSym, rolloff, span, sps);
 
-linewidthTx = 0;%1e5; % Hz
-linewidthLO = 1e6; % Hz
-%%linewidthTx = Rsym * 1e-4; % Hz
-%%linewidthLO = Rsym * 1e-3; % Hz
+linewidthTx = 0; % Hz
+linewidthLO = 10e6; % Hz
+
+[xPSKpn, pTxLoPSK] = phaseNoise(xPSK, linewidthTx, linewidthLO, Tsamp);
+[xDPSKpn, pTxLoDPSK] = phaseNoise(xDPSK, linewidthTx, linewidthLO, Tsamp);
 
-[xPN, pTxLO] = phaseNoise(x, linewidthTx, linewidthLO, Tsamp);
 
 snr = EbN0_db + 10 * log10(log2(M)) - 10 * log10(sps);
-noiseEnergy = 10 ^ (-snr / 10);
 
-y = awgn(xPN, snr, 'measured');
+%%y = awgn(xPN, snr, 'measured');
+yPSK = awgn(xPSKpn, snr, 'measured');
+yDPSK = xDPSKpn;
+
+rPSK = rxFilter(yPSK, rolloff, span, sps);
+rDPSK = rxFilter(yDPSK, rolloff, span, sps);
 
-r = rxFilter(y, rolloff, span, sps);
 
-[rPhaseEq, phiests] = phaseNoiseCorr(r, M, 40 * sps);
-rPhaseEq = normalizeEnergy(rPhaseEq, numSymbs, 1 + noiseEnergy);
+rPSKSa = rPSK(sps*span/2+1:sps:(numSymbs+span/2)*sps);
+rDPSKSa = rDPSK(sps*span/2+1:sps:(numSymbs+span/2)*sps);
 
-rSampled = rPhaseEq(sps*span/2+1:sps:(numSymbs + span/2) * sps);
-demodData = pskdemod(rSampled, M, 0, 'gray')';
+[rPSKSaPhEq, phiestsPSK] = phaseNoiseCorr(rPSKSa, M, pi/M, 40);
 
-[bitErrors, ber] = biterr(data, demodData)
+demodPSK = pskdemod(rPSKSaPhEq, M, pi/M, 'gray');
+demodDPSK = dpskdemod(rDPSKSa, M, pi/M, 'gray');
 
 
+[bitErrors, ber] = biterr(data, demodPSK.')
+
 
 figure(2);
-plot(-phiests);
+plot(t(1:40000), repelem(-phiestsPSK, sps));
 hold on;
-plot(pTxLO);
+plot(t(1:40000), pTxLoPSK(1:40000));
 legend('estimate', 'actual');
 title('Phase noise estimation');
 hold off;
-
+return
 figure(3);
-plot(t(1:length(x)), real(x));
+plot(t(1:length(x)), real(normalizeEnergy(x, numSymbs*sps, 1)));
 hold on;
-plot(t, real(rPhaseEq), 'r');
-%%sampledTimes = t(sps*span/2+1:sps:(numSymbs+span/2)*sps);
+%%plot(t, real(rPhaseEq), 'r');
+sampledTimes = t(sps*span/2+1:sps:(numSymbs+span/2)*sps);
 %%plot(sampledTimes, real(rSampled), 'x');
+plot(sampledTimes, real(normalizeEnergy(rSaPhEq, numSymbs, 1)), 'x');
 legend('original signal', 'corrected received signal');
-title('Phase noise correction, linewidth 1 MHz, E_b/N_0=8 dB');
+title('Phase noise correction, linewidth 1 MHz, $E_b/N_0=8$ dB');
 ylabel('Real part of signals');
 axis([t(1) t(300) -Inf +Inf]);
 hold off;