Title :
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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4960216
