战场环境下车辆目标震动信号的形态学滤波研究

发布时间：2018-04-15 16:54

本文选题：形态滤波 + 特征提取　；参考：《兵器材料科学与工程》2017年03期

【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。
[Abstract]:Aiming at the limitation of the traditional linear signal analysis method in dealing with the ground target vibration signal, the morphological filter is used to extract the characteristic information of the target signal, and the simulation signal and the measured two kinds of vehicle target vibration signal are compared and analyzed.The results show that compared with the four basic morphological filters and wavelet filters, the morphological difference filters can effectively extract the characteristic information of the target signals in the strong noise environment, and are not disturbed by the low-frequency signals at the same time.It provides a new way for ground target recognition based on vibration signal.
【作者单位】：解放军理工大学野战工程学院;近地面探测与感知技术重点实验室;
【基金】：国家自然科学基金(61501468)
【分类号】：TJ5;TN713;TN911.6

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