Electronics Optics & Control, Volume. 25, Issue 10, 52(2018)

An Improved Variable Step-Size LMS Adaptive Algorithm Based on S Function

LEI Zhangyong, PENG Zhiwei, ZHANG Yan, and ZHAO Xuejiao
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    The variable step-size LMS adaptive filtering algorithm adjusts the weights by constructing a step-size factor, so that the algorithm has faster convergence speed and smaller steady-state error. In order to further improve the performance of the algorithm, an improved variable step-size LMS adaptive algorithm based on S function is proposed. By using the curve characteristics of S function, the algorithm obtains the expression of the step-size factor by translation transformation of the function. According to the requirement of controllability and anti-interference ability, controllable parameters and error vector autocorrelation values are introduced to adjust the step-size factor, and the final model is obtained. An analysis is made to the influence of the values of these parameters on the step-size factor and the filtering performance. The simulation results show that, compared with the existing algorithms, the algorithm has better performance on convergence speed, steady-state error and anti-interference ability.

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    LEI Zhangyong, PENG Zhiwei, ZHANG Yan, ZHAO Xuejiao. An Improved Variable Step-Size LMS Adaptive Algorithm Based on S Function[J]. Electronics Optics & Control, 2018, 25(10): 52

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    Paper Information

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    Received: Nov. 13, 2017

    Accepted: --

    Published Online: Jan. 15, 2021

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2018.10.011

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