i am facing this error in simulation . "" Error using * Inner matrix dimensions must agree. Error in Untitled77777 (line 65) decBits = step(pskDemodulator,v * H' * r1);"""" please help me to solve it .

Question

usman ali 2018-5-11

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/400257-i-am-facing-this-error-in-simulation-error-using-inner-matrix-dimensions-must-agree-error

编辑： KSSV 2018-5-11

N = 2;                  % Number of transmit antennas
M = 2;                  % Number of receive antennas
EbNoVec = 2:3:8;        % Eb/No in dB
modOrd = 4;             % constellation size = 2^modOrd
% Create a local random stream to be used by random number generators for
% repeatability.
stream = RandStream('mt19937ar');
% Create PSK modulator and demodulator System objects
pskModulator   = comm.PSKModulator(...
            'ModulationOrder',  2^modOrd, ...
            'PhaseOffset',      0, ...
            'BitInput',         true);
pskDemodulator = comm.PSKDemodulator( ...
            'ModulationOrder',  2^modOrd, ...
            'PhaseOffset',      0, ...
            'BitOutput',        true);
        % Loop over selected EbNo points
for idx = 1:length(EbNoVec)
      % Calculate SNR from EbNo for each independent transmission link
      snrIndB = EbNoVec(idx) + 10*log10(modOrd);
      snrLinear = 10^(0.1*snrIndB);
      % Create random bit vector to modulate
          msg = randi(stream, [0 1], [N*modOrd, 1]);
          % Modulate data
          txSig1 = step(pskModulator,msg);
          xF1 = zeros(size(txSig1));
         txSig22 = (idwt(txSig1,xF1,'haar')).'; 
         txSig = reshape(txSig22,[2,2]);
  %         txSig = idct(txSig1);
          % Flat Rayleigh fading channel with independent links
          rayleighChan = (randn(stream, M, N) +  1i*randn(stream, M, N))/sqrt(2);
          % Add noise to faded data
          rxSig1 = awgn(rayleighChan*txSig, snrIndB, 0, stream); 
          rxSig = dwt(rxSig1,'haar');
  %         rxSig = dct(rxSig1);
          % ZF-SIC receiver
          r = rxSig;
          H = rayleighChan; % Assume perfect channel estimation
          % Initialization
          estZF = zeros(N*modOrd, 1);
          orderVec = 1:N;
          k = N+1;
          % Start ZF nulling loop
          for n = 1:N
              % Shrink H to remove the effect of the last decoded symbol
              H = H(:, [1:k-1,k+1:end]);
              % Shrink order vector correspondingly
              orderVec = orderVec(1, [1:k-1,k+1:end]);
              % Select the next symbol to be decoded
              G = (H'*H) \ eye(N-n+1); % Same as inv(H'*H), but faster
              size(G)
              [~, k] = min(diag(G));
              symNum = orderVec(k);
  v = G(k,:)';
  size(v)
              % Hard decode the selected symbol
              size(H)
              size(r)
  %             size(G(k,:)
              decBits = step(pskDemodulator,v * H' * r);
              estZF(modOrd * (symNum-1) + (1:modOrd)) = decBits;
              % Subtract the effect of the last decoded symbol from r
              if n < N
                  r = r - H(:, k) * step(pskModulator,decBits);
              end
          end
  end