MIMO blind deconvolution using subspace-based filter deflation

Konstantinos Diamantaras, Théophilos Papadimitriou · 2004

We solve the overdetermined MIMO blind deconvolution problem for independent, stationary, and temporally white sources. Our approach is based on the SVD analysis of the output autocorrelation matrices at different time lags. The key idea is the identification of suitable subspace projectors which achieve an effective reduction of the filter length. We refer to this process as "filter deflation". Recursive applications of the filter deflation transform simplify the problem into an instantaneous BSS problem.

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