基于卡尔曼滤波的超宽带穿墙雷达移动目标探测
发布时间：2018-10-18 19:34
【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.
[Abstract]:Wall penetrating radar uses electromagnetic waves to detect, identify, locate and track targets behind obstacles such as walls. Using ultra-wideband (Ultrawideband:UWB) radar to detect through walls can achieve higher range resolution and penetration performance. Because of the complex detection environment, it is difficult to extract the target echo signal from the penetrating radar because of the clutter. In this paper, a method of separating target signal and clutter signal based on Kalman filter is used. In this paper, UWB radar is used to detect the human body moving inside the wall, and then Kalman filter is used to eliminate the interference and obtain the target echo signal. In this paper, a Kalman filter signal model for UWB radar wall detection is established. Then the experimental data of UWB radar wall detection are suppressed by clutter based on Kalman filter, and the original signal is decomposed into target signal, background signal and noise signal. Finally, the fast Fourier transform (Fast Fourier Transform:FFT) of the target signal along the spatial direction is carried out, and the motion characteristics of the human body, including trunk, arm and leg, are obtained.
【作者单位】： 吉林大学地球探测科学与技术学院;
【基金】：吉林大学“大学生创新创业训练计划”(2014A62255) 国家自然科学基金项目(41574109,41340039)联合资助
【分类号】：P631.3
，
本文编号：2280154
[Abstract]:Wall penetrating radar uses electromagnetic waves to detect, identify, locate and track targets behind obstacles such as walls. Using ultra-wideband (Ultrawideband:UWB) radar to detect through walls can achieve higher range resolution and penetration performance. Because of the complex detection environment, it is difficult to extract the target echo signal from the penetrating radar because of the clutter. In this paper, a method of separating target signal and clutter signal based on Kalman filter is used. In this paper, UWB radar is used to detect the human body moving inside the wall, and then Kalman filter is used to eliminate the interference and obtain the target echo signal. In this paper, a Kalman filter signal model for UWB radar wall detection is established. Then the experimental data of UWB radar wall detection are suppressed by clutter based on Kalman filter, and the original signal is decomposed into target signal, background signal and noise signal. Finally, the fast Fourier transform (Fast Fourier Transform:FFT) of the target signal along the spatial direction is carried out, and the motion characteristics of the human body, including trunk, arm and leg, are obtained.
【作者单位】： 吉林大学地球探测科学与技术学院;
【基金】：吉林大学“大学生创新创业训练计划”(2014A62255) 国家自然科学基金项目(41574109,41340039)联合资助
【分类号】：P631.3
，
本文编号：2280154
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