求单载波频域均衡系统的matlab仿真程序

Question

求单载波频域均衡系统的matlab仿真程序，要求lmmse信道估计算法和采用uw训练序列作为数据前缀

Answer 1

该回答引用ChatGPT GPT-4

运行结果

代码

% 参数设置
N = 1024; % 符号长度
M = 16; % 调制阶数, QAM调制
L = 16; % 信道长度
SNR = 20; % 信噪比
UW = [1; -1; 1; -1; -1; 1; 1; -1]; % Unique Word (column vector)
prefix_length = length(UW);

% 信号生成
bits_per_symbol = log2(M);
data = randi([0, 1], N * bits_per_symbol, 1);
modulated_data = qammod(data, M, 'InputType', 'bit', 'UnitAveragePower', true);

% UW前缀添加
modulated_data_with_prefix = [UW; modulated_data]; % 修改：使用列向量进行连接

% 信道模型
h = (randn(L, 1) + 1i * randn(L, 1)) / sqrt(2); % Rayleigh信道
noisy_data = awgn(conv(modulated_data_with_prefix, h), SNR, 'measured');

% UW去除
received_signal = noisy_data(prefix_length + 1 : end);

% 信道估计（LMMSE）
H = fft(h, N);
H_auto_correlation = H .* conj(H);
SNR_linear = 10^(SNR / 10);
LMMSE_H = conj(H) ./ (H_auto_correlation + 1 / SNR_linear);

% 频域均衡
received_signal_freq = fft(received_signal, N);
equalized_signal_freq = received_signal_freq .* LMMSE_H;
equalized_signal = ifft(equalized_signal_freq);

% 解调
demodulated_data = qamdemod(equalized_signal, M, 'OutputType', 'bit', 'UnitAveragePower', true);

% 误码率计算
errors = sum(abs(data - demodulated_data));
BER = errors / numel(data);
fprintf("Bit Error Rate (BER) = %e\n", BER);