A New Variable Step Size LMS Adaptive Filtering Algorithm

Focus on the inconsistency between the convergence rate and the steady state error in LMS algorithm, this paper proposed a new variable step size LMS(VSS-LMS) algorithm, by constructing a nonlinear function between the step factor μ and the error signal e(n). The algorithm which modified the weight...

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Bibliographic Details
Published in2012 International Conference on Computer Science and Electronics Engineering Vol. 2; pp. 265 - 268
Main Authors Ao Wei, Xiang Wan-Qin, Zhang You-Peng, Wang Lei, Lv Chun-Ying, Wang Zheng-Hua
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2012
Subjects
Adaptive arrays
Adaptive filters
Algorithm design and analysis
Convergence
convergence rate
Least squares approximation
LMS algorithm
Signal processing algorithms
Steady-state
steady-state maladjustment
variable step size
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ISBN9781467306898
1467306894
DOI10.1109/ICCSEE.2012.115

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Summary:Focus on the inconsistency between the convergence rate and the steady state error in LMS algorithm, this paper proposed a new variable step size LMS(VSS-LMS) algorithm, by constructing a nonlinear function between the step factor μ and the error signal e(n). The algorithm which modified the weight vector appropriately achieving the optimal by adjusting the step size parameters, could improve the convergence rate and steady-state error performance effectively. The simulation analysis showed that, this algorithm had faster convergence rate speed and smaller steady-state maladjustment compared with the basic LMS algorithm and parts of the similar variable step size algorithm, it fatherly validated this algorithm was superior to existing algorithms.
ISBN:9781467306898
1467306894
DOI:10.1109/ICCSEE.2012.115