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dB')
ylabel('Pb(e)')
title('Bit error probabilities for QPSK and pi/4-DQPSK with Gray coding')
set(gca,'XTick',[0 2 4 6 8 10 12 14 15]); 1. Introduction
2. What is QPSK?
3. What is pi/4-DQPSK?
4. How to simulation two schemes
5. Simulation Results ( Capture ) & Analysis
6. Matlab
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< Code >
B_Q_non = demod_QPSK(ones(length(EbNo_dB),1)*mapping_Q);
B_16_non = demod_16QAM(ones(length(EbNo_dB),1)*mapping_16);
B_64_non = demod_64QAM(ones(length(EbNo_dB),1)*mapping_64);
BER_Q_non = sum(sign(abs(ones(length(EbNo_dB),1)*num-B_Q_non)),2)/Len;
BER_16_non = sum(sign(abs(ones(length
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digital communications(디지털통신) BPSK QPSK matlab code입니다
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% sin을 곱한 m1(t)의 변조
mo_m2=m2.*cos(2*pi*fc*t); % cos을 곱한 m2(t)의 변조
QPSK=mo_m1+mo_m2;
% noise
snr=20; % snr을 20dB로 지정
tx=awgn(QPSK,snr,'measured'); % white Gaussian noise를 QPSK 신호에 넣어줌 QPSK 방식 송수신단 매트랩 코딩
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QPSK system in AWGN channel');
legend('Gray coding','non-Gray coding');
xlabel('Eb/N0');
ylabel('Bit error rate');
subplot(1,2,2);
BER_Theo=qfunc(sqrt(2*10.^(SNR./10))); %이론적인 에러확률
semilogy(SNR, BER_Theo,'-',SNR,BER1,'*') %동시에 log scale로 플랏
title('BER curves for QPSK system in AWGN cha
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