基于轮廓特征的空间目标识别算法

高分辨力单脉冲雷达通过对三个通道回波成像可以获取各个散射中心的方位角和俯仰角,结合距离信息就可以得到各个散射中心在垂直于雷达天线轴的平面上的投影,形成方位-俯仰二维像.由于卫星的尺寸通常大于碎片的尺寸,因此卫星的方位-俯仰二维像的轮廓面积较大.提出了基于轮廓特征的空间目标识别算法,首先通过高分辨力单脉冲雷达对目标进行方位-俯仰二维像成像,然后从方位-俯仰二维像中提取目标轮廓,最后根据轮廓面积特征对卫星和碎片进行识别.经过计算机仿真实验,该算法取得了比较好的识别效果.

Space Target Recognition Algorithm based on Outline Feature

Azimuth angle and elevation angle of every scatter center can be gained through imaging of three tube echo of high range resolution mono-pulse radar,projection of scatter center on vertical plane of radar antenna axis is gained combined with distance message,then azimuth-elevation 2-D image is evolved.Because scale of statellite is generally larger than that of debris,outline area of azimuth-elevation 2-D image of satellite is bigger.Space target recognition algorithm based on outline feature is set forth in this paper,firstly azimuth-elevation 2-D image of target is evolved through high range resolution monopulse radar,then target outline is extracted from 2-D image,at last satellite and debris are recognized according to outline area feature.The algorithm gains good recognition effect through computer simulation experiment.