Adaptive Filtering Algorithm of Fuze Echo Based on Improved LMS

ZHANG Hongpeng; LIU Xing; WU Wei; WANG Bingzheng

doi:10.15892/j.cnki.djzdxb.2023.02.015

Journal of Projectiles, Rockets, Missiles and Guidance >

2023 , Vol. 43 >Issue 2: 88 - 93

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2023.02.015

Adaptive Filtering Algorithm of Fuze Echo Based on Improved LMS

ZHANG Hongpeng ¹ ,
LIU Xing ¹ ,
WU Wei ¹ ,
WANG Bingzheng ²

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¹ School of Electronic Information Engineering, Xi’an Technological University, Xi’an 710021, Shaanxi, China
² Northwest Industries Group Co., Ltd., Xi’an 710043, Shaanxi, China

Received date: 2022-09-24

Online published: 2025-02-24

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Abstract

Aiming at the problem that radio fuze echo is easily covered by noise during signal processing, the idea of step compensation factor and feedback control is introduced, and an adaptive filtering algorithm of fuze echo is proposed based on improved LMS. Based on the normal function, the compensation factor is introduced to jointly restrict the step size, so as to improve convergence speed of the algorithm. The correlation value between current error signal and previous error signal is used to dynamically adjust algorithm parameters to suppress the uncorrelated noise, at the same time, combined with step normalization, the selection range of step size is increased to make the algorithm converge faster and more stable. Simulation results show that the algorithm can effectively reduce the influence of noise on the echo signal of fuze, which has better performance in convergence speed and steady-state error compared with original algorithm.

Key words： fuze echo signal; adaptive filtering algorithm; compensation factor; normalization; convergence rate; steady-state error

Cite this article

ZHANG Hongpeng , LIU Xing , WU Wei , WANG Bingzheng . Adaptive Filtering Algorithm of Fuze Echo Based on Improved LMS[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2023 , 43(2) : 88 -93 . DOI: 10.15892/j.cnki.djzdxb.2023.02.015

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