Adaptive blind SIMO identification: Derivation of an optimal step size for the unconstrained multichannel LMS algorithm

Yiteng Huang, Jacob Benesty, Jingdong Chen

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

Abstract

Adaptive algorithms for blindly identifying SIMO systems are appealing because of their computational efficiency and capability of continuously tracking a time-varying system. Adaptive multi-channel LMS (MCLMS) algorithms (with and without the unitnorm constraint) are analyzed and the optimal step size is derived. A simple yet effective variable step-size unconstrained MCLMS algorithm is proposed and its performance is evaluated with simulations.

Original languageEnglish
Title of host publication2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
PagesIII573-III576
ISBN (Print)0780388747, 9780780388741
DOIs
StatePublished - 2005
Externally publishedYes
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: 18 Mar 200523 Mar 2005

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
VolumeIII
ISSN (Print)1520-6149

Conference

Conference2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Country/TerritoryUnited States
CityPhiladelphia, PA
Period18/03/0523/03/05

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