IEEE Transactions on Signal Processing
Subspace methods for the blind identification of multichannel FIRfilters
IEEE Transactions on Signal Processing
Precoder design and blind identification of MIMO channels
IEEE Transactions on Signal Processing
Blind identification of FIR MIMO channels by decorrelating subchannels
IEEE Transactions on Signal Processing
Subspace projection based blind channel order estimation of MIMO systems
IEEE Transactions on Signal Processing
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It is known that a nonirreducible multiple-input-multiple-output finite-impulse-response channel driven by colored signals that are mutually uncorrelated and of sufficiently diverse power spectra can be identified blindly by exploiting only the second-order statistics of the measured data. In this brief, we propose an approach to dealing with the equalization of a nonirreducible channel, provided that the estimate of the channel matrix is available. Both zero-forcing and minimum-mean-square-error equalizers are developed to perform the channel equalization. The effectiveness of the approach and equalizers is demonstrated by simulation examples.