Variable Step Size LMS Adaptive Filtering Based on Genetic Algorithm

A common form of variable step size LMS algorithm is presented，which is derived by the extensive analysis about several variable step size LMS algorithm. Using genetic algorithm parameter optimization, the algorithm get the optimal valueα、β、m and h quickly and efficiently，and not rely on experience...

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Published inApplied Mechanics and Materials Vol. 263-266; pp. 2238 - 2243
Main Authors Zhang, Hua Dong, Wu, Guo Hui, Shi, Jian
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.01.2013
Subjects
Digital Communication
Tracking Properties
Genetic Algorithm (GA)
LM Algorithm
Convergence
Online AccessGet full text
ISBN9783037855744
3037855746
ISSN1660-9336
1662-7482
1662-7482
DOI10.4028/www.scientific.net/AMM.263-266.2238

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Abstract A common form of variable step size LMS algorithm is presented，which is derived by the extensive analysis about several variable step size LMS algorithm. Using genetic algorithm parameter optimization, the algorithm get the optimal valueα、β、m and h quickly and efficiently，and not rely on experience or method of trial and error. MATLAB simulation results confirmed the theoretical analysis, the algorithm took on good convergence and tracking properties，and could be widely used in modern digital communication systems.
AbstractList A common form of variable step size LMS algorithm is presented,which is derived by the extensive analysis about several variable step size LMS algorithm. Using genetic algorithm parameter optimization, the algorithm get the optimal valueα,β,m and h quickly and efficiently,and not rely on experience or method of trial and error. MATLAB simulation results confirmed the theoretical analysis, the algorithm took on good convergence and tracking properties,and could be widely used in modern digital communication systems.
A common form of variable step size LMS algorithm is presented，which is derived by the extensive analysis about several variable step size LMS algorithm. Using genetic algorithm parameter optimization, the algorithm get the optimal valueα、β、m and h quickly and efficiently，and not rely on experience or method of trial and error. MATLAB simulation results confirmed the theoretical analysis, the algorithm took on good convergence and tracking properties，and could be widely used in modern digital communication systems.
Author Zhang, Hua Dong
Wu, Guo Hui
Shi, Jian
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Keywords Digital Communication
Tracking Properties
Genetic Algorithm (GA)
LM Algorithm
Convergence
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Snippet A common form of variable step size LMS algorithm is presented，which is derived by the extensive analysis about several variable step size LMS algorithm....
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