在OFDM中的迫零均衡和最大似然译码算法matlab代码

以下是OFDM中迫零均衡和最大似然译码算法的MATLAB代码示例：

迫零均衡：

function [rx_data] = zfeq(rx_signal, h_channel)

    % Calculate the Zero Forcing Equalizer coefficients
    H = fft(h_channel, length(rx_signal));
    H_inv = 1./H;
    H_inv(isinf(H_inv)) = 0;
    
    % Perform Zero Forcing Equalization
    rx_data = ifft(fft(rx_signal)./H_inv);

end

最大似然译码：

function [rx_data] = mldec(rx_signal, h_channel, mod_order)

    % Generate all possible symbol combinations
    symbols = qammod(0:mod_order-1, mod_order);
    num_symbols = length(symbols);
    
    % Calculate the likelihood of each symbol
    H = fft(h_channel, length(rx_signal));
    likelihood = zeros(num_symbols, 1);
    for i = 1:num_symbols
        s = symbols(i);
        x = repmat(s, size(rx_signal));
        y = ifft(fft(x).*H);
        likelihood(i) = sum(abs(y-rx_signal).^2);
    end
    
    % Choose the symbol with the highest likelihood
    [~, index] = min(likelihood);
    rx_data = symbols(index);

end

请注意，这些代码只是OFDM系统中迫零均衡和最大似然译码算法的示例，需要根据具体的系统参数进行修改和调整。