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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.
Through-the-wall radar uses electromagnetic waves to detect, identify, locate and track targets behind obstacles such as walls. The use of ultrawideband (UWB) radars for wall penetration detection results in higher range resolution and penetration performance. The detection environment is complex and the target echo signals obtained by the wall-penetrating radar are often obscured by the clutter and difficult to extract.This paper uses a method based on Kalman filter to separate the target signal from the clutter signal.In this paper, Then the Kalman filter based method is used to eliminate the interference and obtain the target echo signal.Firstly, a Kalman filter signal model of UWB radar penetrating through the wall is established.Finally, based on Kalman filter, The experimental data are clutter-suppressed and the original signal is decomposed into the target signal, the background signal and the noise signal.Finally, the fast Fourier transform (FFT) of the target signal along the spatial direction is obtained, Arms and legs and other parts of the human body movement characteristics.