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juanlehehe

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[求助] 迫零均衡和最小均方误差MATLAB算法，怎么理解已有1人参与

% zero forcing equalization
hM = toeplitz([ht([2:end]) zeros(1,2*K+1-L+1)], [ ht([2:-1:1]) zeros(1,2*K+1-L+1) ]);
d  = zeros(1,2*K+1);
d(K+1) = 1;
c_zf  = [inv(hM)*d.'].';
yFilt_zf = conv(y,c_zf);
yFilt_zf = yFilt_zf(K+2:end);
yFilt_zf = conv(yFilt_zf,ones(1,1)); % convolution
ySamp_zf = yFilt_zf(1:1:N);  % sampling at time T

% mmse equalization
hAutoCorr = conv(ht,fliplr(ht));
hM = toeplitz([hAutoCorr([3:end]) zeros(1,2*K+1-L)], [ hAutoCorr([3:end]) zeros(1,2*K+1-L) ]);
hM = hM + 1/2*10^(-Eb_N0_dB(ii)/10)*eye(2*K+1);
d  = zeros(1,2*K+1);
d([-1:1]+K+1) = fliplr(ht);
c_mmse  = [inv(hM)*d.'].';
yFilt_mmse = conv(y,c_mmse);
yFilt_mmse = yFilt_mmse(K+2:end);
yFilt_mmse = conv(yFilt_mmse,ones(1,1)); % convolution
ySamp_mmse = yFilt_mmse(1:1:N);  % sampling at time T
下图中的最小均方误差怎么推导？？

mimetex.gif

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