Optimal step size of the adaptive multichannel LMS algorithm for blind SIMO identification

Author

Huang, Yiteng ; Benesty, Jacob ; Chen, Jingdong

Author_Institution

Bell Labs., Murray Hill, NJ, USA

Volume

12

Issue

3

fYear

2005

fDate

3/1/2005 12:00:00 AM

Firstpage

173

Lastpage

176

Abstract

Adaptive algorithms for blindly identifying single-input multiple-output (SIMO) systems are appealing because of their computational efficiency and capability of continuously tracking a time-varying system. Adaptive multichannel least-mean-square (MCLMS) algorithms (with and without the unit-norm constraint) are analyzed, and the optimal step size is derived. A simple yet effective variable step-size MCLMS algorithm is proposed, and its performance is evaluated with simulations.

Keywords

identification; least mean squares methods; signal processing; telecommunication channels; time-varying systems; BCI; SIMO; adaptive multichannel LMS algorithm; blind channel identification; least-mean-square algorithm; multichannel signal processing; optimal variable step size; single-input multiple-output systems; time-varying system; Adaptive algorithm; Adaptive signal processing; Additive noise; Convergence; Finite impulse response filter; Least squares approximation; Signal processing algorithms; Time varying systems; Vectors; Wireless communication; Blind Channel Identification (BCI); Least Mean Square (LMS); Multichannel Signal Processing; SIMO Systems; Variable Step-Size Adaptive Algorithm;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2004.842286

Filename

1395932