A two-stage algorithm for MIMO blind deconvolution of nonstationarycolored signals
Chor Tin Ma; Zhi Ding; Sze Fong Yau
Signal Processing, IEEE Transactions on
Volume 48, Issue 4, Apr 2000 Page(s):1187 - 1192
Digital Object Identifier 10.1109/78.827552
Summary:A new two-stage algorithm is proposed for the deconvolution of
multi-input multi-output (MIMO) systems with colored input signals.
While many blind deconvolution algorithms in the literature utilize high
order statistics of the output signal for white input signals, the
additional information contained in colored input signals allows the
design of second-order statistical algorithms. In fact, practical signal
sources such as speech signals do have distinct, nonstationary, colored
power spectral densities. We present a two-stage signal separation
approach in which the first step utilizes a matrix pencil between output
auto-correlation matrices at different delays, whereas the second stage
adopts a subspace method to identify and deconvolve MIMO systems
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