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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。
Aiming at the characteristics of high-speed spin motion of space debris around its principal axis, inverse SAR aperture imaging of small-sized space debris can be realized by Single Range Matching Filtering (SRMF). Through the introduction of coherent CLEAN technology, SRMF-CLEAN algorithm can effectively solve the high sidelobe problem caused by Fourier transform. However, at low signal-to-noise ratio (SNR), the position error of scattering points extracted by SRMF-CLEAN imaging method is too large, and some weak scattering points can not be extracted. When the scattering point is close, the scattering points extracted by this algorithm exist False scatter points. In view of this, an improved SRMF-CLEAN imaging method is proposed, which uses the sequence CLEAN technique to effectively solve the problem of high sidelobes and spurious scatterers. Simulation results verify the effectiveness of the new method.