OFDM系统LS信道估计误码率曲线仿真
时间: 2023-07-13 20:38:29 浏览: 138
OFDM系统中LS信道估计的误码率曲线可以通过MATLAB进行仿真。下面是一个简单的仿真代码示例:
```matlab
% OFDM系统仿真:LS信道估计误码率曲线
clear all;
close all;
% OFDM参数设置
N = 64; % 子载波数
cp_len = 16; % 循环前缀长度
K = N - cp_len; % 数据子载波数
M = 4; % 星座大小
num_ofdm_symbols = 1000; % OFDM符号数
% 信道参数设置
chan_type = 'rayleigh'; % 信道类型
chan_var = 0.1; % 信道方差
% 仿真参数设置
snr_dB = 0:2:20; % 信噪比范围(dB)
% 初始化误码率数组
ber = zeros(size(snr_dB));
% 开始仿真
for i = 1:length(snr_dB)
% 生成OFDM符号
tx_data = randi([0 M-1], K*num_ofdm_symbols, 1);
tx_data_mat = reshape(tx_data, K, num_ofdm_symbols);
tx_sym = qammod(tx_data_mat, M);
tx_sym_ifft = ifft(tx_sym, N, 1);
% 加循环前缀
tx_sym_cp = [tx_sym_ifft(N-cp_len+1:N,:); tx_sym_ifft];
% 信道传输
if strcmp(chan_type, 'rayleigh')
chan = sqrt(chan_var)*(randn(N+cp_len,num_ofdm_symbols)+1j*randn(N+cp_len,num_ofdm_symbols))/sqrt(2);
elseif strcmp(chan_type, 'awgn')
chan = ones(N+cp_len,num_ofdm_symbols);
end
rx_sym_cp = zeros(size(tx_sym_cp));
for j = 1:num_ofdm_symbols
rx_sym_cp(:,j) = chan(:,j).*tx_sym_cp(:,j);
end
% 去循环前缀
rx_sym = rx_sym_cp(cp_len+1:end,:);
% LS信道估计
chan_est_ls = rx_sym(:,1)./tx_sym_cp(:,1);
for j = 2:num_ofdm_symbols
chan_est_ls = chan_est_ls + rx_sym(:,j)./tx_sym_cp(:,j);
end
chan_est_ls = chan_est_ls/num_ofdm_symbols;
% 接收端信号修复
rx_sym_fix = zeros(K,num_ofdm_symbols);
for j = 1:num_ofdm_symbols
rx_sym_fix(:,j) = rx_sym(cp_len+1:end,j)./chan_est_ls(cp_len+1:end);
end
% 解调
rx_data_mat = qamdemod(rx_sym_fix, M);
% 计算误码率
rx_data = reshape(rx_data_mat, K*num_ofdm_symbols, 1);
[~, ber(i)] = biterr(rx_data, tx_data);
end
% 画图
figure(1);
semilogy(snr_dB, ber, '-o', 'LineWidth', 2);
grid on;
xlabel('SNR(dB)');
ylabel('BER');
title('OFDM LS信道估计误码率曲线');
```
上述代码中,首先定义了OFDM系统的参数和仿真参数,然后通过循环生成不同信噪比下的OFDM符号并进行LS信道估计和误码率计算,最后将误码率-信噪比曲线绘制出来。其中,LS信道估计的代码为:
```matlab
chan_est_ls = rx_sym(:,1)./tx_sym_cp(:,1);
for j = 2:num_ofdm_symbols
chan_est_ls = chan_est_ls + rx_sym(:,j)./tx_sym_cp(:,j);
end
chan_est_ls = chan_est_ls/num_ofdm_symbols;
```
该代码中,首先使用第一个符号的接收信号和发送信号进行信道估计,然后利用所有符号的接收信号和发送信号进行平均。最终得到的chan_est_ls即为信道估计结果。
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