迭代变步长LMS算法及性能分析

doi:10.11999/JEIT141501

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Abstract

The Iteration-based Variable Step-Size LMS (IVSSLMS) algorithm is proposed to overcome the compromise between the convergence speed and the steady-state misadjustment error, which can’not be handled in Fixed Step-Size LMS algorithm (FXSSLMS). This algorithm is different from other Variable Step-Size LMS (VSSLMS) algorithms, since its step-size is not controlled by the error signal but the iteration time. In the other words, a modified Logistic-function nonlinear relationship is constructed between the iteration time and the step-size to conquer the slow convergence speed of the FXSSLMS and interference of the current VSSLMS. Finally, the performance and parameters settings of the proposed algorithm are analyzed. The theoretical analysis and simulations verify that the proposed algorithm has not only faster convergence speed but also smaller misadjustment error. The misadjustment error of this algorithm, with color noise interfering, is 7 dB less than existing methods.

Key words： Signal processing Variable Step-Size LMS (VSSLMS) algorithm Steady-state misadjustment error Logistic function

Received: 26 November 2014 Published: 02 June 2015

PACS:

TN911.72

Corresponding Authors: Liu Jian-cheng E-mail: liujiancheng1987@126.com

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	Liu Jian-cheng
	Zhao Hong-zhi
	Quan Hou-de
	Tang You-xi

Cite this article:

Liu Jian-cheng,Zhao Hong-zhi,Quan Hou-de等. Iteration-based Variable Step-size LMS Algorithm and Its Performance Analysis[J]. JEIT, 2015, 37(7): 1674-1680.

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http://jeit.ie.ac.cn/EN/10.11999/JEIT141501 OR http://jeit.ie.ac.cn/EN/Y2015/V37/I7/1674

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