A deflation algorithm for the blind deconvolution of MIMO-FIR channels driven by fourth-order colored signals

Abstract

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. In our new approach, to solve the blind deconvolution problem, we consider two stages: First, filtered source signals are extracted from the mixtures of source signals. Second, the source signals are recovered from the filtered source signals.

A deflation algorithm for the blind source-factor separation of MIMO-FIR channels driven by colored sources

“…signals (e.g., [1], [2], [6], and [10]). Recently, two algorithms were developed for extracting colored source signals from the mixtures of the source signals [5], [8]. However, they can be applied only to the case when the source signals are colored signals but white in the sense of second-order statistics.…”