Critera for direct blind deconvolution of MIMO FIR systems driven by white source signals

Author

Inouye, Y. ; Liu, Ruey-wen

Author_Institution

Dept. of Electron. & Control Syst. Eng., Shimane Univ., Matsue, Japan

Volume

5

fYear

1999

fDate

1999

Firstpage

2889

Abstract

This paper addresses the blind deconvolution of multi-input-multi-output (MIMO) FIR systems driven by white non-Gaussian source signals. First, we present a weaker condition on source signals than the so-called i.i.d. condition so that blind deconvolution is possible. Then, under this condition, we provide a necessary and sufficient condition for blind deconvolution of MIMO FIR systems. Finally, based on this result, we propose two maximization criteria for blind deconvolution of MIMO FIR systems. These criteria are simple enough to be implemented by adaptive algorithms

Keywords

MIMO systems; adaptive signal processing; deconvolution; optimisation; transient response; MIMO FIR systems; adaptive algorithms; direct blind deconvolution; maximization criteria; multi-input-multi-output systems; necessary condition; sufficient condition; white nonGaussian source signals; white source signals; Adaptive algorithm; Control systems; Deconvolution; Digital communication; Equalizers; Finite impulse response filter; MIMO; Sufficient conditions; System identification; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.761366

Filename

761366