瑞利信道64QAM调制与解调matlab仿真

最新推荐文章于 2024-11-19 16:22:29 发布

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最新推荐文章于 2024-11-19 16:22:29 发布 · 299 阅读

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#算法 #matlab #开发语言

% 64QAM
clear
clc
close all
sample_nums=3000000;
BER_AWGN=[];
SNR_db = 20:1:50;
m=1;
for SNR=20:1:50

%发送序列
sent_bits = randi([0,1], sample_nums,1);
%调制，发送信号
modulated_bits=qammod(sent_bits,64,'InputType','bit')/sqrt(42);
%AWGN
sigma = (10^(-SNR/10));
awgn=complex(sqrt(sigma/2)*randn(length(modulated_bits),1),sqrt(sigma/2)*randn(length(modulated_bits),1));
%通过AWGN信道
modulated_bits_awgn=modulated_bits+awgn;
%通过rayleigh信道
gaussian_real = randn(length(modulated_bits),1);
gaussian_image = randn(length(modulated_bits),1);
channel_gain = sqrt(1/2)*(gaussian_real + 1i*gaussian_image);% 计算复数信道增益

% awgn解调
recieved_bits=qamdemod(modulated_bits_awgn*sqrt(42),64,'OutputType','bit');
BER_AWGN(m)=bit_error_rate(sent_bits,recieved_bits);
% 瑞利解调
receive_signal=modulated_bits.*channel_gain+awgn;
modulated_bits_rayleigh=receive_signal./channel_gain;
recieved_bits_rayleigh=qamdemod(modulated_bits_rayleigh*sqrt(42),64,'OutputType','bit');
BER_rayleigh(m)=bit_error_rate(