1.完整项目描述和程序获取
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2.部分仿真图预览
3.算法概述
基于扩频解扩和Turbo编译码的通信链路误码率仿真,并比较了不同调制方式下的性能。首先,我们详细讨论了实现步骤,包括扩频解扩、调制、编码和译码等。
4.部分源码
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N = 512;%设置奇偶校验矩阵大小
M = 255;
%得到扩频倍数,设置1,4,8
fp = 8;
if fp==1
SNR = [-8:2:22];
TJL = 2*[6000,6000,5000,4000,4000,4000,4000,4000,4000,4000,4000,4000,4000,4000,3000,2500,2000,1800,1500,1000,1000,1000,500,500,400,400,300,300,200,200,100,100,100];
end
if fp==4
SNR = [-8:2:12];
TJL = 2*[4000,3000,2500,2000,1800,1500,1000,1000,1000,500,500,400,400,300,300,200,200,100,100,100,100,100,100,100,100,100,100,100,100];
end
if fp==8
SNR = [-8:2:8];
TJL = 2*[3000,2500,2000,1800,1500,1000,1000,1000,500,500,400,400,300,300,200,200,100,100,100,100,100,100];
end
for i=1:length(SNR)
Bit_err(i) = 0;
Num_err = 0;
Numbers = 0; %误码率累加器
while Num_err <= TJL(2*i)
Num_err
fprintf('Eb/N0 = %f\n', SNR(i));
%产生需要发送的随机数
Trans_data = round(rand(1,N-M));
turbo_code = turbo_encode(Trans_data);
%DSSS
pseudoNumber = round(rand(1,fp)');
[dsss,converted,PN2] = func_dsss(turbo_code,pseudoNumber,fp);
Trans_BPSK = QAM64_modulation(dsss);
%通过高斯信道
Rec_BPSK = awgn(Trans_BPSK,SNR(i),'measured');
ReData = QAM64_demodulation(Rec_BPSK);
%DSSS
dsss2 = func_dsss2(ReData,pseudoNumber,fp);
%turbo译码
x_hat = round(turbo_decode(dsss2));
[nberr,rat]= biterr(x_hat,Trans_data);
Num_err = Num_err+nberr;
Numbers = Numbers+1;
end
Bit_err(i)=Num_err/(N*Numbers);
end
figure;
semilogy(SNR,Bit_err,'o-r');
xlabel('Eb/N0(dB)');
ylabel('BER');
grid on;
if fp==1
save data_QAM641.mat SNR Bit_err
end
if fp==4
save data_QAM644.mat SNR Bit_err
end
if fp==8
save data_QAM648.mat SNR Bit_err
end
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