rolloff = 0.5;
end
-
%% https://www.mathworks.com/help/comm/examples/passband-modulation-with-adjacent-channel-interference.html
Rsym = 1e6; % symbol rate (sym/sec)
span = 6; % filter span
sps = 4; % samples per symbol
- txFilter = comm.RaisedCosineTransmitFilter...
- ('Shape', 'Square root', ...
- 'RolloffFactor', rolloff, ...
- 'FilterSpanInSymbols', span, ...
- 'OutputSamplesPerSymbol', sps);
- rxFilter = comm.RaisedCosineReceiveFilter...
- ('Shape', 'Square root', ...
- 'RolloffFactor', rolloff, ...
- 'FilterSpanInSymbols', span, ...
- 'InputSamplesPerSymbol', sps, ...
- 'DecimationFactor', 1);
-
fs = Rsym * sps; % sampling freq (Hz)
t = (0 : 1 / fs : numSymbs / Rsym + (1.5 * span * sps - 1) / fs)';
-
EbN0_db = 0:0.2:10;
EbN0 = 10 .^ (EbN0_db ./ 10);
Es = 1;
data = randi([0 M - 1], numSymbs, 1);
modData = pskmod(data, M, 0, 'gray');
- xBaseband = txFilter([modData; zeros(span, 1)]);
-
-
+ xBaseband = txFilter(modData, rolloff, span, sps);
for i = 1:plotlen
- snr = EbN0_db(i) + 10 * log10(log2(M)) - 10 * log10(sps); % why sps?
+ snr = EbN0_db(i) + 10 * log10(log2(M)) - 10 * log10(sps);
noiseEnergy = 10 ^ (-snr / 10);
yBaseband = awgn(xBaseband, snr, 'measured');
- rBaseband = rxFilter([yBaseband; zeros(span, 1)]);
- %% truncate filter transients
- rBaseband = rBaseband(span * sps / 2 + 1 : end);
- %% normalize to unit energy
- rBasebandEnergy = sum(abs(rBaseband) .^ 2) / numSymbs;
- rBaseband = rBaseband .* sqrt((1 + noiseEnergy) / rBasebandEnergy);
+ rBaseband = rxFilter(yBaseband, rolloff, span, sps);
rSampled = rBaseband(sps*span/2+1:sps:(numSymbs+span/2)*sps);
-
demodData = pskdemod(rSampled, M, 0, 'gray');
-
[bitErrors, ber(i)] = biterr(data, demodData);
end
- fig1 = figure(1);
+ figure(1);
clf;
%% Plot simulated results
semilogy(EbN0_db, ber, 'r', 'LineWidth', 2);
hold on;
- %% Plot theoretical curve
- %% BPSK: bit error when noise Nr > sqrt(Eb)
- %% Pr(Nr > sqrt(Eb))
- %% = Pr(Z > sqrt(Eb) / sqrt(N0/2))
- %%
- %% QPSK = 2 BPSKs, one real and one imaginary, each with one bit
- %% so BER is the same as BPSK (assuming Gray code)
- if M == 2 || M == 4
- ber_th = qfunc(sqrt(2 * EbN0));
- semilogy(EbN0_db, ber_th, 'b', 'LineWidth', 1);
- legend('Simulated', 'Discrete');
- else
- %% Approximation: J.G. Proakis and M. Salehi, 2000, Contemporary
- %% Communication Systems using MATLAB (Equations
- %% 7.3.18 and 7.3.19), Brooks/Cole.
- ber_ap = 2 * qfunc(sqrt(EbN0 * log2(M) * 2) * sin(pi / M)) / log2(M);
- semilogy(EbN0_db, ber_ap, 'b', 'LineWidth', 1);
- legend('Simulated', 'Discrete');
- end
+ theoreticalPSK(EbN0_db, M, 'b', 'LineWidth', 1);
+ legend('Simulated', 'Discrete');
title(strcat(num2str(M), '-PSK with Gray code'));
grid on;
ylabel('BER');
formatFigure;
- %saveas(gcf, strcat('BER_SNR_', num2str(M), 'PSK_', num2str(numSymbs), ...
- % '.svg'));
-
- %scatterplot(rxFilt);
- %eyediagram(rxFilt, sps);
-
end