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LMS Adaptive Filtering Algorithm Based on Arctangent Function and its Application

  • ZHANG Xiaoya 1 ,
  • LIU Jianxun 2 ,
  • NI Yuanxiang 3 ,
  • WU Liang 1 ,
  • PENG Jinqi 1
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  • 1 College of Mechanical and Electrical Engineering, Guangzhou 510510, China
  • 2 School of Mechanical Engineering,Southeast University,Nanjing 211189, China
  • 3 Science and Technology College of Guangdong Polytechnic, Zhaoqing 526200, Guangdong,China

Received date: 2021-04-10

  Online published: 2025-02-21

Abstract

In the process of signal processing for radio fuzes, the existing least mean square (LMS) algorithm cannot effectively achieve better convergence performance and steady-state characteristics. In order to improve the deficiencies of the LMS filtering algorithm, comprehensively considering the relationship between the iteration step size and the error, the relationship between the previous iteration step size and the current iteration step size, and the change of the current iteration step size, a new iteration based on the iteration step size is proposed. Mathematical model of error and dynamic constraint iteration step length. Through simulation, the impact of the key parameters of the new algorithm on the filtering performance is analyzed in detail, and the optimal parameters are determined. In the signal filtering process, it can be clearly seen from the simulation effect that the new algorithm has good convergence performance and steady-state characteristics. Compared with the original algorithm in terms of anti-interference, the anti-interference ability is increased by 3.5 times.

Cite this article

ZHANG Xiaoya , LIU Jianxun , NI Yuanxiang , WU Liang , PENG Jinqi . LMS Adaptive Filtering Algorithm Based on Arctangent Function and its Application[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2022 , 42(1) : 114 -117 . DOI: 10.15892/j.cnki.djzdxb.2022.01.021

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