A dynamic clutter interference suppression method for multiple static human targets detection using ultra-wideband radar
A dynamic clutter interference suppression method for multiple static human targets detection using ultra-wideband radar
复制标题
超宽带雷达多静态人体目标检测的动态杂波干扰抑制方法
DOI：
10.1002/mop.31973
复制
发表时间：
2019
影响因子：
1.5
通讯作者：
Zhang Yang
中科院分区：
文献类型：
--
作者：
Xue Huijun;Liu Miao;Lv Hao;Jiao Teng;Li Zhao;Qi Fugui;Wang Pengfei;Wang Jianqi;Zhang Yang
灾后搜救是超宽带雷达系统的重要应用，它主要通过幸存者的呼吸运动反应来探测幸存者。在多目标检测应用中，由于人体胸部运动幅度微弱，电磁波衰减大，无法准确识别静止的活体目标，特别是在动态杂波干扰的复杂救援条件下。本文针对被测目标回波信号与动态杂波产生的错觉目标回波信号的频率成分存在显著差异的问题，提出了一种基于小波熵的算法。与自适应线增强和能量积累的参考算法相比，小波熵可以在动态杂波干扰条件下准确检测出多个人体目标，即使距离较远的人体目标处于较近的人体目标产生的阴影区。
Postdisaster search and rescue is an important application of ultra‐wideband radar system, which mainly detects survivors by their respiratory‐motion response. In the application of detecting multiple human targets, owing to faint amplitude of human chest movement and high attenuation of electromagnetic wave, the motionless living human targets cannot be discriminated accurately, especially in a complex rescue condition with dynamic clutter interference. In this article, on account of the significant difference of frequency components between the echo signal of tested target and that of illusive target produced by dynamic clutter, an algorithm based on wavelet entropy is proposed. Compared with the reference algorithms of adaptive line enhancement and energy accumulation, the wavelet entropy can accurately detect multiple human targets under the condition of dynamic clutter interference, even though the human targets stand far away locate in the shadowing region caused by the closer one.