An improved motion compensation method for high resolution UAV SAR imaging  

作　　者：FAN BangKui DING ZeGang GAO WenBin LONG Teng 

机构地区：[1]School of Information and Electronics,Beijing Institute of Technology [2]Beijing Institute of Information Technology

出　　处：《Science China(Information Sciences)》2014年第12期105-117,共13页中国科学（信息科学）（英文版）

基　　金：supported by National Natural Science Foundation of China(Grant Nos.61370017,61032009,61225005,61120106004)

摘　　要：The polynomial and sinusoidal motion errors always exist in the unmanned aero vehicle （UAV） SAR due to the small size and low velocity of the platform, causing serious spectrum compressing/stretching and significant spectral replicas of the azimuth signal. The motion errors induce serious blurring of the SAR image and ＂ghost targets＂, and can hardly be precisely estimated by the conventional motion compensation （MOCO） method. In this paper, an improved MOCO method is proposed to estimate and eliminate the motion errors in the high resolution UAV SAR without high precision inertial navigation system （INS） data. The time domain range walk correction （RWC） operation in the coarse phase error estimation process of the proposed MOCO method is the key operation that ensures the estimation accuracy of the whole MOCO method. Finally, the validity of the improved MOCO method is verified by computer simulations and real UAV SAR data processing.The polynomial and sinusoidal motion errors always exist in the unmanned aero vehicle （UAV） SAR due to the small size and low velocity of the platform, causing serious spectrum compressing/stretching and significant spectral replicas of the azimuth signal. The motion errors induce serious blurring of the SAR image and ＂ghost targets＂, and can hardly be precisely estimated by the conventional motion compensation （MOCO） method. In this paper, an improved MOCO method is proposed to estimate and eliminate the motion errors in the high resolution UAV SAR without high precision inertial navigation system （INS） data. The time domain range walk correction （RWC） operation in the coarse phase error estimation process of the proposed MOCO method is the key operation that ensures the estimation accuracy of the whole MOCO method. Finally, the validity of the improved MOCO method is verified by computer simulations and real UAV SAR data processing.

关 键 词：motion error unmanned aero vehicle （UAV） SAR motion compensation （MOCO） range walkcorrection （RWC） high resolution 

分 类 号：TN957.52[电子电信—信号与信息处理]