战场环境下车辆目标震动信号的形态学滤波研究  

Morphological filtering of vehicle vibration signals in battlefield environment

作　　者：杜锴[1] 方向[1] 丁凯 王怀玺[1] 黄俊逸[1] 

机构地区：[1]解放军理工大学野战工程学院,江苏南京210007 [2]近地面探测与感知技术重点实验室,江苏无锡214000

出　　处：《兵器材料科学与工程》2017年第3期26-30,共5页Ordnance Material Science and Engineering

基　　金：国家自然科学基金(61501468)

摘　　要：针对传统线性信号分析方法在处理地面目标震动信号上的局限性,提出采用形态滤波提取目标信号的特征信息,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。结果表明:与4种基本形态滤波器和小波滤波器相比,形态差值滤波器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一条新的途径。In order to overcome the limitation of the traditional linear signals analysis method in dealing with the vibration signals of ground target, the morphological filtering was employed to extract the feature information of the target signals. The simulated signals and vibration signals measured from two kinds of vehicle targets were analyzed. The results show that compared with the four kinds of basic morphological filter and wavelet filter, morphological difference filter can effectively extract the feature information of the target signals in strong noise environment, and also can eliminate the interference of low frequency signals, which provides a new way for the precise identification of ground targets based on seismic signals.

关 键 词：形态滤波 特征提取 车辆目标 震动信号 

分 类 号：TJ4[兵器科学与技术—火炮、自动武器与弹药工程] TN911.7[电子电信—通信与信息系统]