Phase compensation in ISAR imaging: comparison between maximum likelihood-based approach and minimum entropy-based approach

Author

Qiu, Xiaohui ; Zhao, Yang ; Cheng, Alice Heng Wang ; Yeo, Siew Yam

Author_Institution

Dept. of Inf. Eng., Nanjing Post & Tele. Univ., China

Volume

2

fYear

2004

fDate

20-25 June 2004

Firstpage

2107

Abstract

Inverse synthetic aperture radar (ISAR) imaging is a powerful tool in microwave imaging for moving targets. In this paper, an analysis and comparison between maximum likelihood-based and minimum entropy-based approaches for phase compensation in ISAR imaging have been carried out. Moreover, real ISAR data processing is presented and some results like the autofocusing effect, computation complexity and convergence performance are discussed.

Keywords

computational complexity; convergence of numerical methods; maximum likelihood estimation; minimum entropy methods; motion compensation; radar imaging; radar resolution; synthetic aperture radar; ISAR data processing; ISAR imaging; ISAR phase compensation; autofocusing effect; computation complexity; convergence; inverse synthetic aperture radar imaging; maximum likelihood-based method; minimum entropy-based method; motion compensation; moving target microwave imaging; range resolution; Frequency; High-resolution imaging; Image resolution; Microwave imaging; Motion compensation; Optical imaging; Optical scattering; Phase estimation; Radar imaging; Signal resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 2004. IEEE

Print_ISBN

0-7803-8302-8

Type

conf

DOI

10.1109/APS.2004.1330625

Filename

1330625