基于SRMF和序列CLEAN的空间碎片ISAR成像算法

针对太空碎片围绕其主轴进行高速自旋运动的特点，利用单距离匹配滤波（Single Range Matching Filtering，SRMF） 方法可以实现小尺寸太空碎片的逆合成孔径雷达成像。通过相干CLEAN技术的引入，SRMF-CLEAN算法可有效地解决傅里叶变换带来的高旁瓣问题。然而在低信噪比情况下，利用SRMF-CLEAN成像方法提取的散射点位置误差偏大，甚至某些弱散射点无法被提取；当散射点距离较近时，该算法提取的散射点中存在虚假散射点的情况。针对此，提出了一种改进的SRMF-CLEAN成像方法，该方法利用序列CLEAN技术可以有效地解决高旁瓣、虚假散射点问题。仿真实验结果验证了新方法的有效性。

ISAR imaging algorithm based on SRMF and sequence CLEAN

Considering the characteristics of space debris, high-speed spinning around its main axis, Single Range Matching Filtering(SRMF) method can be used for ISAR imaging of space debris with small dimension. By introducing coherent CLEAN technique, high sidelobe problem brought by Fourier transform can be solved with SRMF-CLEAN method effectively . However, under the condition of low signal-to-noise ratio, the position error of scattering centers extracted by SRMF-CLEAN method is big, and even some weak scattering centers cannot be extracted. When the distance between the scattering centers is close, some of scattering centers extracted by the method are false. Therefore, an improved SRMF-CLEAN imaging method was proposed in this paper. The method utilizes sequence CLEAN instead of coherent CLEAN to effectively solve the above problems of high sidelobe and false scattering centers. The experiment results verify effectiveness of the proposed method.