Error analysis of SOS-based MIMO system identification algorithm

Author

Chen, B. ; Petropulu, A.P. ; Diamantaras, K.I.

Author_Institution

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

Volume

1

fYear

1999

fDate

24-27 Oct. 1999

Firstpage

85

Abstract

We consider the problem of identification of a n/spl times/n convolutive mixture. The sources are independent and non-white, with known statistics. We have recently proposed a second-order statistics based identification approach of Diamantaras, Petropulu and Chen (see IEEE Trans. on Signal Processing, 1999), that utilizes eigenvalue decomposition of second-order spectral correlations. In this paper we conduct a preliminary analysis of the method of Diamantaras et al., that provides some insight on the selection of parameters involved, and indicates how the channels/signals characteristics affect the reconstruction result.

Keywords

MIMO systems; convolution; eigenvalues and eigenfunctions; error analysis; identification; multiuser channels; spectral analysis; statistical analysis; SOS-based MIMO system identification algorithm; channels/signals characteristics; convolutive mixture; eigenvalue decomposition; error analysis; independent sources; multiuser/multi-access communications; non-white sources; parameters selection; reconstruction result; second-order spectral correlations; second-order statistics; source statistics; Covariance matrix; Error analysis; Filters; Frequency; MIMO; Matrix decomposition; Signal analysis; Signal processing; Statistics; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5700-0

Type

conf

DOI

10.1109/ACSSC.1999.832301

Filename

832301