摘要
针对合成孔径雷达(SAR)对运动目标成像时出现移位、散焦问题,本文提出一种基于相位恢复原理和ISAR算法的相位误差校正方法。该方法首先从SAR图像中提取包含运动目标的子图像并反演得到回波域数据;然后,采用自适应时间窗算法(Automatic time-windowing)以及图像对比度算法(ICBA)对误差相位进行粗补偿;最后,利用相位恢复算法迭代求解实现对相位的精确补偿。该方法利用粗补偿得到的模糊图像信息作为相位恢复算法的先验条件,提高了算法的收敛性,仿真实验结果验证了该方法的有效性。
For the problem of shift and defocusing in SAR moving target imaging,a motion compensation method based on phase retrieval principle and ISAR algorithm is proposed.Firstly,the sub-image is selected from formed SAR image,and the original data of the ISAR processing obtained by inversion mapping.Then,the Automatic time-windowing algorithm and the Image Contrast-based Autofocus(ICBA)algorithm are adopted to compensate the error phase.Finally,the phase retrieval algorithm is used to achieve accurate phase compensation.The method exploits the fuzzy image information obtained by the coarse compensation as the a priori condition of the phase retrieval algorithm,which improves the convergence of the algorithm.The simulation results demonstrate the validity of the proposed algorithm.
作者
史洪印
郭建文
刘悦
杨亭
Shi Hongyin;Guo Jianwen;Liu Yue;Yang Ting(School of Information Science & Engineering, Yanshan University, Qinhuangdao, Hebei 066004 China;Hebei Key Laboratory of Information Transmission and Signal Processing, Qinhuangdao, Hebei 066004 China)
出处
《信号处理》
CSCD
北大核心
2020年第4期541-549,共9页
Journal of Signal Processing
基金
国家自然科学基金(61571388)。
关键词
合成孔径雷达
逆合成孔径雷达
运动目标
自适应时间窗算法
图像对比度算法
相位恢复
synthetic aperture radar
inverse synthetic aperture radar
moving target
image contrast-based autofocus
automatic time window
phase retrieval
