Diffusion least-mean squares with adaptive combiners

Authors:
Noriyuki Takahashi;Isao Yamada;Ali H. Sayed
Affiliations:
Department of Communications and Integrated Systems, Tokyo Institute of Technology, S3-60, 2-12-1, Ookayama, Meguro-ku, 152-8550, Japan;Department of Communications and Integrated Systems, Tokyo Institute of Technology, S3-60, 2-12-1, Ookayama, Meguro-ku, 152-8550, Japan;Department of Electrical Engineering, University of California, Los Angeles, 90095, USA
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

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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.