A Variable Step-Size Diffusion LMS Algorithm for Distributed Estimation

We propose a new variable step-size diffusion least mean square algorithm for distributed estimation that adaptively adjusts the step-size in every iteration. For a network application, the proposed method determines a suboptimal step-size at each node to minimize the mean square deviation for the i...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 63; no. 7; pp. 1808 - 1820
Main Authors:	Lee, Han-Sol, Kim, Seong-Eun, Lee, Jae-Woo, Song, Woo-Jin
Format:	Journal Article
Language:	English
Published:	IEEE 01.04.2015
Subjects:	adaptive networks Convergence diffusion LMS algorithm Distributed estimation Estimation Least squares approximations Noise Signal processing algorithms Steady-state variable step-size Vectors
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!