穿墙定位雷达静止人体目标的信号处理

Signal Processing to locate the static human Target by Through Wall Detecting Radar

穿墙定位雷达作为一种新型雷达,在灾害搜救,反恐等军事领域有着广泛的应用前景,因此引起了人们的众多关注。其探测目标分为运动和静止状态的人体,相对运动目标人体静止目标的探测定位信号处理要复杂很多,对静止目标人体的探测定位是本文讨论的重点。在文中较为详尽的叙述了穿墙定位雷达中静止目标人体定位的整个信号处理过程,从原始雷达数据的获取到雷达信号的预处理,再到静止目标人体特征信号的提取及判别直至对静止目标人体的定位,特别是在静止目标人体特征信号的提取上采用了现代信号处理方法中的奇异值分解法和自适应最小均方误差滤波方法,取得了很好的效果,文中并对这两种处理方法的优缺点进行了分析比较,最后给出了静止目标人体的定位实验结果,验证了文中所述的信号处理方法的有效性和可行性。

Through-wall detecting radar used as a new kind of radar which detecting target can be divided into moving and static state human body,has extensive applied foreground in domain of searching and rescuing in the disaster,anti-terrorism and etc,so it causes people＇s numerous concerns.It is more difficult to locate static human body comparing with moving human body,so the emphasis discussion of the paper is to detecting and locating static human target.The whole signal processing process of locating static human target based on through wall detecting radar is described in detail,which include obtaining raw radar data,pre-processing radar echo signal, extracting and distinguishing characteristic signal of static human body,locating the static human target,especially in extracting characteristic signal of static human body,Performance can be obtained well because of using the modern signal processing method of Siguar Value Decomposition and adaptive Least Mean Square whose advantage,and also disadvabtage is analyzed and compared in the paper, at last the locating experiment results of static human target are given which validate the effectiveness and feasibility of the signal processing method described in this paper.