基于更新提升形态小波变换的车辆目标震动信号特征提取  

Feature extraction of vehicle vibration signals based on update lifting morphological wavelet transform

作　　者：杜锴[1] 方向[1] 张胜[1] 王怀玺[1] 黄俊逸[1] DU Kai;FANG Xiang;ZHANG Sheng;WANG Huaixi;HUANG Junyi(College of Field Engineering,PLA University of Science and Technology,Nanjing 210007,China)

机构地区：[1]解放军理工大学野战工程学院,南京210007

出　　处：《振动与冲击》2018年第16期135-139,共5页Journal of Vibration and Shock

摘　　要：针对传统线性小波变换在处理地面目标震动信号上的局限性,提出了一种更新提升形态小波来提取车辆目标震动信号的特征信息。利用仿真信号和实测的两类车辆目标震动信号进行对比分析,分析结果表明与传统线性小波和极大形态提升小波相比,更新提升形态小波不仅能在强噪声环境下有效提取目标信号的特征信息,同时不受低频信号干扰,为基于震动信号的地面目标精确识别提供了一条新的途径。To overcome the limitations of the traditional linear wavelet transform when dealing with a ground target’s vibration signals,the update lifting morphological wavelet was employed to extract the target signals’feature information.The simulated signals and vibration signals measured from two kinds of vehicle targets were analyzed,and the results show that,compared with the traditional wavelet and max-lifting scheme,the update lifting scheme can effectively extract the target signals’feature information in strong noise environments.It can also eliminate the interference of low frequency signals,thereby providing a new method for the precise identification of ground targets based on seismic signals.

关 键 词：车辆目标 特征提取 更新提升 形态小波 

分 类 号：TJ81[兵器科学与技术—武器系统与运用工程] TN911.7[电子电信—通信与信息系统]