摘要
针对超宽带穿墙雷达系统中准确获取穿墙雷达天线和人体目标距离的问题,基于小波分析方法检测了信号的瞬态特征,而穿墙雷达回波信号中不规则的突变和奇异点正好包含了人体运动目标信息,且突变点总有其对应的小波变换模极大值,本文提出一种基于小波模极大值的目标探测算法.通过具体的穿透混凝土砖块墙壁实测实验验证了该算法的有效性,为实现对人体目标的隔墙探测、定位和跟踪提供了保证.
Aiming at the question that how to obtain the exact distance between through-wall radar （TWR） antenna and human target for ultra-wideband （UWB） TWR,this paper discribes the fact that wavelet analysis can examine the character of signal. The singularity of TWR echo includes the information of human target,and the singularity of TWR echo can be concluded by the wavelet transform local maxima. The target detection algorithm based on the wavelet transform local maxima is proposed in this paper. The validity of the algorithm is proved by the actual through-the-wall experimentation.
出处
《武汉大学学报（理学版）》
CAS
CSCD
北大核心
2010年第4期487-490,共4页
Journal of Wuhan University:Natural Science Edition
基金
国家自然科学基金资助项目(40874079)
关键词
穿墙雷达
小波模极大值
奇异性
目标探测
through-the-wall radar （TWR）
wavelet transform local maxima
singularity
target detection
