ISAR imaging based on improved phase retrieval algorithm

作     者：SHI Hongyin XIA Saixue TIAN Ye 

作者机构：School of Information Science and Engineering Yanshan University 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2018年第29卷第2期

页      面：278-285页

核心收录：

学科分类：0711[理学-系统科学] 070208[理学-无线电物理] 07[理学] 071102[理学-系统分析与集成] 0702[理学-物理学] 

基　　金：supported by the National Natural Science Foundation of China(61571388 61601398) the National Natural Science Foundation of Hebei Province(F2016203251) 

主　　题：inverse synthetic aperture radar(ISAR) maneuvering target autofocus imaging phase retrieval oversampling smoothness(OSS) 

摘      要：Traditional inverse synthetic aperture radar(ISAR)imaging methods for maneuvering targets have low resolution and poor capability of noise suppression. An ISAR imaging method of maneuvering targets based on phase retrieval is proposed,which can provide a high-resolution and focused map of the spatial distribution of scatterers on the target. According to theoretical derivation, the modulus of raw data from the maneuvering target is not affected by radial motion components for ISAR imaging system, so the phase retrieval algorithm can be used for ISAR imaging problems. However, the traditional phase retrieval algorithm will be not applicable to ISAR imaging under the condition of random noise. To solve this problem, an algorithm is put forward based on the range Doppler(RD) algorithm and oversampling smoothness(OSS) phase retrieval algorithm. The algorithm captures the target information in order to reduce the influence of the random phase on ISAR echoes, and then applies OSS for focusing imaging based on prior information of the RD algorithm. The simulated results demonstrate the validity of this algorithm, which cannot only obtain high resolution imaging for high speed maneuvering targets under the condition of random noise, but also substantially improve the success rate of the phase retrieval algorithm.