An Improved ZA-LMS Algorithm for Sparse System Identification with Variable Sparsity

Hui Luo; Yun Lin; Qing Xia

doi:10.4028/www.scientific.net/AMM.602-605.2415

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605An Improved ZA-LMS Algorithm for Sparse System...

An Improved ZA-LMS Algorithm for Sparse System Identification with Variable Sparsity

Abstract:

The standard least mean square algorithm does not consider the sparsity of the impulse response,and the performs of the ZA-LMS algorithm deteriorates ,as the degree of system sparsity reduces or non-sparse . Concerning this issue ,the ZA-LMS algorithm is studied and modified in this paper to improve the performance of sparse system identification .The improved algorithm by modify the zero attraction term, which attracts the coefficients only in a certain range (the “inactive” taps), thus have a good performance when the sparsity decreases. The simulations demonstrate that the proposed algorithm significantly outperforms then the ZA-LMS with variable sparisity.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

2415-2419

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.2415

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Online since:

August 2014

Authors:

Hui Luo*, Yun Lin, Qing Xia

Keywords:

Sparse System Identification, Variable Sparisity, ZA-LMS, Zero Attraction Term

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* - Corresponding Author

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