An effective autofocus algorithm for ISAR imaging

Author

Wei, Ye ; Zheng, Bao

Author_Institution

Key Lab. for Radar Signal Processing, Xidian Univ., Xi´´an, China

fYear

1996

fDate

8-10 Oct 1996

Firstpage

350

Lastpage

353

Abstract

Motion compensation is a key step in inverse synthetic aperture radar (ISAR) imaging. The paper first sets up the array model for ISAR imaging that clearly demonstrates the principle and possible methods for initial phase error calibration. An effective autofocus method called the calibrating source iteration algorithm (CASIA) is then presented to calibrate the initial phase errors. Finally, the real measured ISAR data of a flying aircraft are processed to test the performance of the CASIA and the imaging results confirm its validity

Keywords

aircraft; array signal processing; calibration; electromagnetic wave scattering; error analysis; inverse problems; iterative methods; motion compensation; motion estimation; radar clutter; radar cross-sections; radar imaging; synthetic aperture radar; ISAR imaging; array model; autofocus algorithm; autofocus method; calibrating source iteration algorithm; flying aircraft; imaging results; initial phase error calibration; inverse synthetic aperture radar; measured ISAR data; motion compensation; radar clutter; radar scattering; Aircraft; Ear; Electronics packaging; Focusing; Laboratories; Motion compensation; Phased arrays; Radar imaging; Radar scattering; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 1996. Proceedings., CIE International Conference of

Conference_Location

Beijing

Print_ISBN

0-7803-2914-7

Type

conf

DOI

10.1109/ICR.1996.574459

Filename

574459