Blind equalization of SIMO FIR channels driven by colored signals with unknown statistics

We consider the blind equalization of single-input multiple-output finite impulse response channel driven by colored signals. The statistics of the input colored signals are unknown a priori. By exploiting the inherent structural relationship between the source autocorrelation matrices of different delay lags, the closed-form zero-forcing and minimum mean-square-error equalizers of desired delays are estimated from the second-order statistics of the received data. The blind equalizability conditions of the proposed method are investigated. Numerical simulation results are presented to illustrate the performance of the proposed algorithm.