Noise constrained diffusion least mean squares over adaptive networks

Muhammad Omer Bin Saeed, Azzedine Zerguine, Salam A. Zummo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

This paper presents the design of a new diffusion algorithm over adaptive networks. The algorithm assumes knowledge of variance of additive noise. The design is based on the Noise-Constrained Least-Mean Squares (LMS) Algorithm and the new algorithm becomes a type of variable step-size algorithm for which the step-size variation rule results directly from the constraint. The design of the Noise-Constrained Diffusion LMS algorithm has been included. Simulation results show that the new algorithm outperforms the existing Diffusion LMS algorithm as well as its Incremental counterpart.

Original languageEnglish
Title of host publication2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010
Pages288-292
Number of pages5
DOIs
StatePublished - 2010

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Keywords

  • Adaptive filters
  • Adaptive networks
  • Diffusion
  • Noise constrained algorithms

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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