Adaptive blind identification of SIMO systems using channel cross-relation in the frequency domain

Author

Huang, Kteng Arden ; Benesty, Jacob ; Chen, Jingdong

Author_Institution

Lucent Technol. Bell Labs., Murray Hill, NJ, USA

Volume

6

fYear

2003

fDate

6-10 April 2003

Abstract

The implementation of existing methods for blind identification of single-input multiple-output (SIMO) systems is limited in practice since they are difficult to execute in an adaptive mode and are, in general, computationally intensive. We extend our previous study (Huang, Y. and Benesty, J., Sig. Processing, vol.82, no.8, p.99-110, 2002) into the frequency domain and propose an unconstrained normalized multi-channel frequency-domain LMS (UNMCFLMS) algorithm. Numerical simulations show that the UNMCFLMS algorithm performs as well as (for a SIMO system with relatively short channel impulse responses) or better than (for a SIMO system with long channel impulse responses) its time-domain counterpart and the cross-relation (CR) batch method in practical situations.

Keywords

adaptive filters; adaptive signal processing; frequency-domain analysis; identification; least mean squares methods; telecommunication channels; transient response; SIMO systems; adaptive blind identification; adaptive filter; adaptive mode; channel cross-relation; channel impulse response; single-input multiple-output systems; unconstrained normalized multi-channel frequency-domain LMS algorithm; Additive noise; Convergence; Convolution; Frequency domain analysis; Higher order statistics; Jacobian matrices; Least squares approximation; Numerical simulation; System identification; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1201687

Filename

1201687