一种基于图像最大对比度的联合ISAR方位定标和相位自聚焦算法  

A Novel Joint ISAR Cross-range Scaling and Phase Autofocus Algorithm Based on Image Contrast Maximization

作　　者：邵帅 张磊[1,2] 刘宏伟[1,2] SHAO Shuai;ZHANG Lei;LIU Hongwei(National Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China;Collaborative Innovation Center of Information Sensing and Understanding at Xidian University,Xi’an 710071,China)

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,西安710071 [2]西安电子科技大学信息感知技术协同创新中心,西安710071

出　　处：《电子与信息学报》2019年第4期779-786,共8页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61771372;61771367);国家杰出青年科学基金(61525105);高等学校学科创新引智计划(111计划)(B18039)~~

摘　　要：针对特显点选取易受噪声影响这一问题,该文提出一种基于全局图像最大对比度的逆合成孔径雷达(ISAR)方位定标算法,并在实现方位定标的同时完成距离空变相位补偿自聚焦。该方法以图像对比度作为代价函数,利用BFGS算法实现代价函数的最大化高效求解,获得目标信号的距离空变调频率,进而计算目标有效转动角速度,实现方位定标和距离空变相位自聚焦。仿真和实测数据实验对比验证了该算法的有效性和稳健性。Due to the selection of dominant scatterers is easy to be affected by noise,a novel Inverse Synthetic Aperture Radar(ISAR)cross-range scaling algorithm based on image contrast maximization is proposed,which can realize the cross-range scaling while achieving the range spatial-variant phase autofocus.With the image contrast as cost function,the cross-range chirp rate of received signal can be estimated accurately using Broyden-Fletcher-Goldfarb-Shanno(BFGS)algorithm.Based on the estimated results,the cross-range scaling of ISAR image and precise phase autofocus can be implemented.Both simulated and real data experiments confirm the effectiveness and robustness of the proposed algorithm.

关 键 词：逆合成孔径雷达 方位定标 最大对比度 BFGS算法 

分 类 号：TN957.52[电子电信—信号与信息处理]