Diffusion least-mean squares with adaptive combiners

Author

Takahashi, Noriyuki ; Yamada, Isao ; Sayed, Ali H.

Author_Institution

Dept. of Commun. & Integrated Syst., Tokyo Inst. of Technol., Tokyo

fYear

2009

fDate

19-24 April 2009

Firstpage

2845

Lastpage

2848

Abstract

This paper presents an efficient adaptive combination strategy for diffusion algorithms over adaptive networks in order to improve the robustness against the spatial variation of SNR over the network. The diffusion least-mean square (LMS) algorithm with the proposed combination rule and its mean transient analysis are included. Simulation results show that the diffusion LMS algorithm with our combiners outperforms those with existing static combiners and the incremental LMS algorithm.

Keywords

adaptive filters; least mean squares methods; transient analysis; adaptive combination strategy; adaptive filtering; diffusion algorithms; diffusion least-mean square algorithm; mean transient analysis; Adaptive filters; Adaptive systems; Cooperative systems; Least squares approximation; Network topology; Parameter estimation; Random variables; Robustness; Signal to noise ratio; Transient analysis; Adaptive filters; adaptive combiners; adaptive networks; cooperative systems; diffusion; distributed estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on

Conference_Location

Taipei

ISSN

1520-6149

Print_ISBN

978-1-4244-2353-8

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2009.4960216

Filename

4960216