作　　者： (陈瑞鼎）; (鹿琪）; (单子涵）; (宋二乔）; (谭颖）; (周雪）;

机构地区： 吉林大学地球探测科学与技术学院,长春130026

出　　处： 《地球物理学进展》 2017年第4期1758-1763,共6页

摘　　要： 穿墙雷达使用电磁波对墙等障碍物之后的目标进行探测、识别、定位和跟踪.利用超宽带(Ultrawideband:UWB)雷达进行穿墙探测,能获得更高的距离分辨率和穿透性能.由于探测环境复杂,穿墙雷达获得的目标回波信号往往被杂波所掩盖而提取困难.本文使用了一种基于卡尔曼滤波的目标信号和杂波信号分离的方法.本文利用UWB雷达对墙体内侧运动的人体进行探测,然后使用基于卡尔曼滤波的方法消除干扰获得目标回波信号.本文首先建立了UWB雷达穿墙探测的卡尔曼滤波信号模型.然后基于卡尔曼滤波对UWB雷达的穿墙探测实验数据进行了杂波压制,将原始信号分解为目标信号、背景信号和噪声信号.最后对目标信号沿空间方向进行了快速傅里叶变换(Fast Fourier Transform:FFT),获得了包括躯干、手臂和腿等人体各部分的运动特征. The through-wall radar can identify,locate,probe and track the target behind the obstacle by using the electromagnetic wave.The ultralwideband（UWB） radar has higher resolution and better penetration performance in the through-wall detection.Because of the sophisticated detection environment,the signals reflected from the target in the through-wall radar detection are often obscured by the noise so that it is difficult to extract the target signal from original signals.To solve this problem,this paper uses a method based on Kalman filter to separate the target signal from the noise.UWB radar is used to detect the people in motion that behind wall,then the method based on Kalman filter is applied to the acquired data to eliminate the influence of noise and identify the signals from the target.At first,the Kalman filter based signal models built for through-wall detection by UWB radar.The noise suppression is conducted to experiment data acquired by UWB radar based on Kalman filter and separate the raw data into the target data,the background data,and the noise.At last we use Fast Fourier Transformation（FFT） to transform the target data along cross-range.The obtained time-frequency spectrum shows kinematic features of each part of the human include the torso,the arms and the legs.

关 键 词： 超宽带雷达 穿墙探测 卡尔曼滤波 动目标 快速傅立叶变换