Multiple-input-multiple-output blind system identification based on cross-polyspectra

Author

Chen, Binning ; Petropulu, Athina P.

Author_Institution

Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA

Volume

1

fYear

2000

fDate

2000

Firstpage

584

Abstract

In this paper we propose a novel frequency domain approach for the n×n MIMO identification problem. The proposed method is a subspace approach that estimates the parameters of a FIR MIMO system, driven by temporally i.i.d. and spatially independent non-Gaussian processes, using cross poly-spectra of any order and cross-power spectra of the system output. Extensions to the case of non-white input signals are also discussed. Simulation results are provided to illustrate the performance of the new algorithm

Keywords

MIMO systems; frequency-domain analysis; higher order statistics; parameter estimation; spectral analysis; white noise; FIR MIMO; MIMO identification problem; cross-polyspectra; cross-power spectra; frequency domain approach; independant identically distributed processes; multiple-input-multiple-output blind system identification; nonwhite input signals; performance; spatially independent nonGaussian processes; subspace approach; temporally i.i.d. processes; Biomedical engineering; DSL; Digital communication; Finite impulse response filter; Fourier transforms; Frequency domain analysis; MIMO; Parameter estimation; Speech processing; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.862049

Filename

862049