基于改进LMS算法的引信自适应去噪声研究  

Adaptive Noise Cancellation in Fuze Based on the Improved LMS Algorithm

作　　者：叶朋 张东洋[1] 李广剑 李鹏利 YE Peng;ZHANG Dong-yang;LI Guang-jian;LI Peng-li(Air and Missile Defense College,Air Force Engineering University,Xi'an 710051,China)

机构地区：[1]空军工程大学防空反导学院,西安710051

出　　处：《火力与指挥控制》2020年第10期63-66,共4页Fire Control & Command Control

摘　　要：为解决引信信号处理系统中信号噪声消除问题,设计了一种基于改进LMS算法的自适应噪声对消系统。传统固定步长LMS算法存在收敛速度和稳态失调的矛盾,改进的算法是基于双曲余弦函数,当外部参数改变,滤波器的步长因子也随之变化,从而提高消除器的去噪效果。理论分析和仿真结果表明,基于改进的LMS算法自适应噪声消除器可以消除杂波信号,提高滤波器的收敛速度和稳态性能,更好地获得输出信噪比。An adaptive noise cancellation system based on improved LMS algorithm is designed to solve the problem of signal noise cancellation in fuze signal processing system.The traditional fixedstep LMS algorithm has the contradiction between convergence speed and steady-state misadjustment,the improved algorithm is based on the hyperbolic cosine function.When the external parameters change,the step factor of the filter also changes,accordingly thereby the denoising effect of the canceller will be improved.The theoretical analysis simulation results show that the adaptive noise canceller based on the improved LMS algorithm can cancel clutter signal and recover useful signal.Meanwhile,the convergence rate and steady-state performance of the filiter can be improved and the output signal-to-noise ratio will be better obtained.

关 键 词：引信信号处理 自适应噪声对消 传统LMS算法 双曲余弦函数 

分 类 号：TJ43[兵器科学与技术—火炮、自动武器与弹药工程]