A channel deflation approach for the blind deconvolution of a complex FIR channel with real input

Author

Diamantaras, Konstantinos I. ; Papadimitriou, Theophilos ; Kotsialos, Efthimios

Author_Institution

Dept. of Inf., TEI of Thessaloniki, Sindos, Greece

fYear

2006

fDate

4-8 Sept. 2006

Firstpage

1

Lastpage

5

Abstract

In this paper we present a novel second-order statistics method for the blind deconvolution of a real signal propagating through a complex channel. The method is computationally very efficient since it involves only one SVD computation for the time-delayed output covariance matrix. No other optimization is involved. The subspaces corresponding to the left and right singular value matrices can be used to “deflate” the channel: projecting the output signal on either subspace reduces the filter length to 1, thus source reconstruction is simplified. The method is suitable for any channel length and it offers performance improvement compared to well established methods.

Keywords

FIR filters; channel bank filters; covariance matrices; deconvolution; signal reconstruction; singular value decomposition; statistical analysis; channel deflation approach; complex FIR channel blind deconvolution; filter length reduction; left singular value matrix; right SVD computation matrix; second-order statistics method; source reconstruction; time-delayed output covariance matrix; Bit error rate; Covariance matrices; Deconvolution; Finite impulse response filters; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2006 14th European

Conference_Location

Florence

ISSN

2219-5491

Type

conf

Filename

7071671