基于加权最大值波束合成的静止人体检测与定位方法

Stationary human detection and localization method based on beam-forming with maximum weighting

针对单通道超宽带雷达不具备横向分辨率,存在信息模糊,不适用于多个静止人体检测等问题,提出了一种基于加权最大值波束合成的静止人体检测与定位方法。该方法利用超宽带阵列雷达在角度分割扫描的基础上,取所有通道回波信号中对应呼吸幅度范围内取值的最大值进行波束合成实现场景目标成像,通过对比判决所有角度对应的距离向最大像素值,确定可能存在目标的扫描角度,将该角度波束合成的距离-慢时间矩阵在人体呼吸频率段内的能量值作为加权因子,实现人体与静止物体的区分。实测数据处理结果表明,该方法能够充分利用回波信号能量,增强信噪比,实现多个静止人体的检测和定位。

Single-channel ultra-wideband radar does not have the ability of horizontal resolution,and the obtained information is blurred.Thus,it is not suitable for the detection of multiple stationary humans.A detection and localization method for hidden humans based on beam-forming with maximum value using UWB array radar is proposed.Firstly,on the basis of angle segmentation scan,the maximum sampling value of the echo signal in a interval is used to conduct delayed sum beam-forming,and the interval have a length of the sampling points corresponding to respiratory amplitude,and then target imaging of scene is obtained.Secondly,maximum pixel values corresponding to all angles are compared to determine the scanning angle of targets.Finally,FFT is performed on distance-slow time matrix,which is obtained by beam-forming along slow-time,and it’s energy in the range human respiratory frequency band is used as weighting factor to distinguish between stationary human and objects.The result of measured data shows that this method makes full use of the energy of all echo signals,and the ratio of signal-to-noise is enhanced,the detection and localization of multiple hidden humans are achieved.