基于改进CLEAN算法的FMCW ISAR低副瓣成像算法的研究  

Research on FMCW ISAR Low Sidelobe Imaging Technology based on Improved Clean Algorithm

作　　者：任佳伟 张祥坤 邵泽龙 Ren Jiawei;Zhang Xiangkun;Shao Zelong(CAS Key Laboratory of Microwave Remote Sensing,National Space Science Center,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院国家空间科学中心微波遥感技术重点实验室,北京100190 [2]中国科学院大学电子电气与通信工程学院,北京100049

出　　处：《遥感技术与应用》2020年第6期1386-1393,共8页Remote Sensing Technology and Application

摘　　要：在调频连续波逆合成孔径雷达成像中,由于雷达发射信号带宽的有限性,雷达接收到的信号经过去调频,脉冲压缩后会呈现一系列等效点目标的二维sinc函数的叠加,所以合成孔径雷达成像不可避免的会受到sinc函数旁瓣叠加问题的影响,据此引进天文图像恢复中广泛使用的CLEAN算法。针对由于雷达实际成像环境的复杂性,以及目标的非匀速运动等导致的回波sinc函数旁瓣失真的问题,提出了在进行CLEAN算法之前先进行时域加窗加权修正旁瓣的方法,减小了不规则旁瓣对后续数据处理的影响。最后,对CLEAN算法中的"脏束"、"清洁波束"进行了修正,使其具有更强的目标检测能力及鲁棒性,提高了成像分辨率。对实测数据的处理表明,该方法对实际工程应用具有一定的参考价值。The Frequency Modulation Continuous Wave Inverse Synthetic Aperture Radar(FMCW ISAR)images by transmitting the Frequency Modulation Continuous Waves,due to the limited bandwidth of the transmitted waves,the imaging is affected by the sidelobes of the sinc function inevitably.The CLEAN algorithm is widely used in the astronomical images.In order to solve the problems of the sidelobes of the sinc function,the algorithm which combines of the windowing in time domain and the CLEAN algorithm is proposed,and improves the quality of the images obviously.Finally,the"dirty beam"and"clean beam"in the CLEAN algorithm are modified to improve the capacity of the radar detection.The results show that the proposed method has a certain reference for the applications.

关 键 词：调频连续波逆合成孔径雷达 旁瓣抑制 改进CLEAN算法 道路行车成像 

分 类 号：TN958.95[电子电信—信号与信息处理]