IR-UWB穿墙雷达动目标探测实验

在穿墙雷达实际工作场景中，杂波对墙后动目标的探测造成严重的干扰。分析回顾经典IR-UWB穿墙雷达动目标检测原理，通过分析其数学解析式探讨其检测性能。介绍了IR-UWB穿墙雷达系统及其工作原理，基于该IR-UWB穿墙雷达系统上进行非金属墙体后动目标探测实验。针对目标处于不同运动状态的雷达回波数据进行处理分析，验证经典动目标检测算法的工作性能。针对指数加权算法，通过实验数据处理给出了其参数的调节范围。实验结果表明，IR-UWB穿墙雷达可以对非金属墙体后人体目标进行探测。对于墙后作径向运动的人体目标，3种经典算法的检测性能处于同一水平；对于墙后作切向运动、原地踏步的人体目标，指数加权算法与积累平均背景相消法具有较好的检测性能。

An Experimental Investigation of Moving Target Detection Based on IR-UWB Through-the-Wall Radar

In the actual working situation of the through-wall-radar, clutter causes serious interference to the detection of moving targets behind the wall. The moving target detection principle of classical IR-UWB through-wall-radar is analyzed and reviewed. Its detection performance is investigated by analyzing its mathematical analytic formula. The IR-UWB through-the-wall radar system and its operation principle are introduced. Based on the through-wall-radar system, the detection experiment of the moving targets behind non-metallic wall is conducted and the radar echo data of the targets in different motion states are analyzed to verify the performances of the classical moving target detection algorithms. For the exponentially weighted cancellation, the adjustment range of its parameters is inferred by experimental data analysis. The experimental results show that IR-UWB through-the-wall can detect the human targets behind non-metallic wall. For human targets in radial movement, the detection performances of the three classical algorithms are at the same level. For human targets in tangential movement or marching in place, the exponentially weighted cancellation algorithm and the cumulative average background cancellation method have better performances.