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Variable Step-Size Transform Domain ILMS and DLMS algorithms with system identification over adaptive networks

  • King Fahd University of Petroleum and Minerals

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

2 Scopus citations

Abstract

This paper presents a powerful performance and convergence speed of Variable Step-Size Transform Domain Incremental/Diffusion Least Mean Square (VSS-TD-I/D-LMS). It modifies and extends several already existing algorithms of VSS-LMS and VSS-TD-LMS to wireless sensor adaptive networks. The effect of transform domain along with power normalization plays a rule in reduce eigenvalue spread of input autocorrelation and whitening the highly correlated process. In ILMS, each node sensor is allowed to share its estimate with a direct neighbor while in DLMS each node update its estimate a long with a group of neighbors. Simulation results are shown that the performance improvement of cooperative fashion has substantial and favorable convergence speed. Simulation results are shown the performance improvement of cooperative fashion in convergence speed.

Original languageEnglish
Title of host publication2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479974313
DOIs
StatePublished - 17 Dec 2015
Externally publishedYes
Event3rd IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015 - Amman, Jordan
Duration: 3 Nov 20155 Nov 2015

Publication series

Name2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015

Conference

Conference3rd IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2015
Country/TerritoryJordan
CityAmman
Period3/11/155/11/15

Keywords

  • Diffusion LMS
  • Incremental LMS
  • Transform Domain
  • Variable Step-Size

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