引信微弱信号降噪箕舌线最小均方误差变步长算法  

Versiera Function LMS Variable Step Size Algorithm for Radio Fuze Weak Signals Noise Reduction

作　　者：张淦 王海彬[1,2] 黄媛婷 龙腾 ZHANG Gan;WANG Haibin;HUANG Yuanting;LONG Teng(Xi’an Institute of Electromechanical Information Technology,Xi’an 710065,China;Science and Technology on Electromechanical Dynamic Control Laboratory,Xi an 710065,China)

机构地区：[1]西安机电信息技术研究所,陕西西安710065 [2]机电动态控制重点实验室,陕西西安710065

出　　处：《探测与控制学报》2023年第2期1-10,共10页Journal of Detection & Control

摘　　要：在自适应滤波中,常用的固定步长最小均方误差(LMS)算法存在收敛速度与稳态误差之间的矛盾,难以直接应用于需要瞬态探测识别的引信,为此提出一种新的基于箕舌线函数的变步长LMS算法自适应滤波降噪算法,用于无线电引信瞬态探测和微弱回波信号提取。仿真实验结果表明,该算法可以有效提取引信微弱回波信号,具有良好的噪声抑制能力,且计算复杂度较低,对硬件要求低,可实现性强。Traditional methods of improving signal-to-noise ratio such as filtering accumulation can not meet the needs of the millimeter wave fuze instantaneous detection and identification,hence using adaptive filtering and other modern filter applications is necessary.The adaptive filtering method has stronger adaptability and better filtering performance,and can work effectively in the unknown environment;however,the fixed-step LMS algorithm has the contradiction between convergence speed and steady-state error,which is difficult to be directly applied to the fuze that needs transient detection identification.To this end,we introduce a new adaptive filtering and denoising method based on the the witch of Agnesi function with variable step length LMS algorithm for radio fuze weak echo signal extraction.The simulation results showed that the denoising scheme could effectively extract the fuze weak echo signal with favorable noise suppression capability,low computational complexity,low hardware requirements,and strong implementability.

关 键 词：引信 信号处理 微弱信号提取 自适应滤波 变步长LMS算法 箕舌线 

分 类 号：TJ434.1[兵器科学与技术—火炮、自动武器与弹药工程] TN911.72[电子电信—通信与信息系统]