Iteration-based Variable Step-size LMS Algorithm and Its Performance Analysis

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

doi:10.11999/JEIT141501

Volume 37 Issue 7

Jul. 2015

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Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(7): 1674-1680

Liu Jian-cheng, Zhao Hong-zhi, Quan Hou-de, Tang You-xi. Iteration-based Variable Step-size LMS Algorithm and Its Performance Analysis[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1674-1680. doi: 10.11999/JEIT141501

Citation:

Liu Jian-cheng, Zhao Hong-zhi, Quan Hou-de, Tang You-xi. Iteration-based Variable Step-size LMS Algorithm and Its Performance Analysis[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1674-1680. doi: 10.11999/JEIT141501

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Iteration-based Variable Step-size LMS Algorithm and Its Performance Analysis

doi: 10.11999/JEIT141501

1.
(Ordnance Engineering College of PLA, Shijiazhuang 050003, China)
2.
(National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China)

Received Date: 2014-11-26
Rev Recd Date: 2015-02-04
Publish Date: 2015-07-19

Abstract

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 cannot 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.
- Signal processing,
- Variable Step-Size LMS (VSSLMS) algorithm,
- Steady-state misadjustment error,
- Logistic function

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References(17)

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