| 1 | function discretePSK_BER_SNR(M, numSymbs) |
| 2 | %% Set defaults for inputs |
| 3 | if nargin < 2 |
| 4 | numSymbs = 1000; |
| 5 | end |
| 6 | if nargin < 1 |
| 7 | M = 2; |
| 8 | end |
| 9 | |
| 10 | EbN0_db = 0:0.2:10; |
| 11 | EbN0 = 10 .^ (EbN0_db ./ 10); |
| 12 | |
| 13 | Es = 1; |
| 14 | Eb = Es / log2(M); |
| 15 | N0 = Eb ./ EbN0; |
| 16 | |
| 17 | EsN0 = EbN0 .* log2(M); |
| 18 | EsN0_db = 10 .* log10(EsN0); |
| 19 | |
| 20 | plotlen = length(EbN0); |
| 21 | |
| 22 | ber = zeros(1, plotlen); |
| 23 | |
| 24 | data = randi([0, M - 1], 1, numSymbs); |
| 25 | txsig = pskmod(data, M, 0, 'gray'); |
| 26 | |
| 27 | for i = 1:plotlen |
| 28 | rxsig = awgn(txsig, EsN0_db(i)); |
| 29 | demodData = pskdemod(rxsig, M, 0, 'gray'); |
| 30 | |
| 31 | [bitErrors, ber(i)] = biterr(data, demodData); |
| 32 | end |
| 33 | |
| 34 | figure(1); |
| 35 | clf; |
| 36 | |
| 37 | %% Plot simulated results |
| 38 | semilogy(EbN0_db, ber, 'r', 'LineWidth', 2); |
| 39 | hold on; |
| 40 | |
| 41 | theoreticalPSK(EbN0_db, M, 'b', 'LineWidth', 1); |
| 42 | |
| 43 | if M == 2 || M == 4 |
| 44 | legend('Simulated', 'Theoretical'); |
| 45 | else |
| 46 | legend('Simulated', 'Approximation'); |
| 47 | end |
| 48 | |
| 49 | title(strcat(num2str(M), '-PSK with Gray code')); |
| 50 | grid on; |
| 51 | xlabel('$E_b/N_0$ (dB)'); |
| 52 | ylabel('BER'); |
| 53 | |
| 54 | formatFigure; |
| 55 | %saveas(gcf, strcat('BER_SNR_', num2str(M), 'PSK_', num2str(numSymbs), ... |
| 56 | % '.svg')); |
| 57 | end |