Open AccessEfficient variable step‐size diffusion normalised least‐mean‐square algorithm
Author(s) -
Jung Sang Mok,
Seo JiHye,
Park PooGyeon
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2014.4061
Subject(s) - variable (mathematics) , algorithm , diffusion , square (algebra) , mathematics , computer science , physics , mathematical analysis , geometry , thermodynamics
An efficient variable step‐size diffusion normalised least‐mean‐square algorithm is proposed via a mean‐square deviation (MSD) analysis for the distributed estimation. The proposed algorithm has two distinguishing features for computational efficiency. In the adaptation step, an intermittent adaptation rule that dynamically adjusts an update interval is proposed to reduce the redundant updates. In the diffusion step, instead of the existing combination rules, a selection rule is proposed to select the intermediate estimate of the most reliable node among its neighbour nodes for the estimate at each node. Moreover, to achieve both fast convergence rate and low steady‐state error, a variable step size is obtained by minimising the MSD.