An Effective Autofocus Algorithm for ISAR Imaging
作者单位：Key Laboratory for Radar Signal ProcessingEE Research InstituteXidian University
会议名称：《1996 CIE International Conference of Radar(ICR’96)》
会议日期：1996年
学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 081105[工学-导航、制导与控制] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程]
关 键 词：synthetic aperture radar motion estimation radar imaging motion compensation aircraft calibration iterative methods array signal processing error analysis electromagnetic wave scattering inverse problems radar cross-sections radar clutter autofocus algorithm ISAR imaging motion compensation inverse synthetic aperture radar array model initial phase error calibration autofocus method calibrating source iteration algorithm measured ISAR data flying aircraft imaging results radar scattering radar clutter
摘 要：正Motion compensation is a key step in inverse synthetic aperture radar（ISAR）*** paper first sets up the array model for ISAR imaging that clearly demonstrates the principle and possible methods for initial phase error *** effective autofocus method called calibrating source iteration algorithm（CASIA）is then presented to calibrate the initial phase ***, the real measured ISAR data of flying aircraft are processed to test the performance of CASIA and the imaging results confirm its validity.