一种高轨空间目标宽带一维像特征提取方法

An Approach for HRRP Feature Extraction of HEO Space Target

由于受到发射机功率和天线孔径的限制,地基空间目标探测雷达一般采用脉冲积累增程技术对高轨空间目标进行探测。针对脉冲积累条件下,空间目标的雷达散射截面(RCS)特性和轨道特性在目标识别和身份确认等方面存在的缺陷,提出了一种基于分段相参处理的高轨空间目标宽带一维像特征提取方法,利用模拟同步轨道目标数据,成功获取了高分辨率宽带一维距离像。实验结果表明,不同目标的宽带一维像具有显著差异性,而同一目标不同时刻具有明显一致性。该技术可为高轨空间目标尺寸估计、个体确认和状态判别提供有力支撑。

The ground-based space target detection radars always take the pulse accumulation range-extend technology to detect the highly elliptical orbit(HEO)space target due to the limitations of transmitter power and antenna aperture.The method for extracting high resolution range profile(HRRP)of HEO space targets by simulating target data of synchronous orbit is proposed.This method uses segment-based coherent processing to overcome the defects that the radar cross section(RCS)features and orbit features can not achieve good results at target identification and identity verification.The result shows significant differences of HRRP between different targets,and coherence in the same target at the different moments.This method can be applied to size estimation,identity verification and state prediction of HEO space target.