BLIND DECONVOLUTION ALGORITHMS FOR MIMO-FIR SYSTEMS DRIVEN BY FOURTH-ORDER COLORED SIGNALS

摘要

In this paper, we propose a new iterative algorithm to solve the blind deconvolution problem of MIMO-FIR channels driven by source signals which are temporally second-order uncorrelated but fourth-order correlated and spatially second- and fourth-order uncorrelated. To achieve our goal, we extend the super-exponential deflation algorithm proposed by Inouye and Tanebe to the case of the blind deconvolution problem of MIMO-FIR channels driven by the source signals which possess fourth-order auto-correlations. In our new approach, to recover one source signal, there are two stages: First, by using our proposed super-exponential algorithm, a cascaded integrator-comb (CIC) filter is acquired. It implies that one filtered source signal is separated from the mixtures of the source signals. Next, by making the filtered source signal uncorrelated, one source signal is recovered from the filtered source signal. To show the validity of the proposed algorithm, some simulation results are presented.