Phase compensation for ISAR imaging combined with entropy principle

Author

Qiu, X.H. ; Zhao, Y. ; Udpa, S.

Author_Institution

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

Volume

3

fYear

2003

fDate

22-27 June 2003

Firstpage

195

Abstract

Inverse synthetic aperture radar (ISAR) imaging is a powerful tool in microwave imaging for moving target. It provides high range resolution by transmitting wide-band signal, and high cross-range resolution by coherently accumulating echoes, where phase compensation is one core technique for range-Doppler image formation. However, conventional phase compensation methods usually have problems to compensate the translational motion between radar and target with sufficient accuracy when the motion has high order or even random terms. To solve this problem, the minimum entropy idea is introduced in this paper for ISAR imaging via a nonparametric estimation method.

Keywords

Doppler radar; microwave imaging; minimum entropy methods; radar imaging; radar resolution; synthetic aperture radar; FFT algorithm; ISAR imaging; contrast optimization; cross-range resolution; high range resolution; impulse response; microwave imaging; minimum entropy; motion compensation; moving target; nonparametric estimation; phase compensation; phase error; range-Doppler image formation; Entropy; Equations; High-resolution imaging; Image resolution; Microwave imaging; Motion compensation; Phase estimation; Radar imaging; Radar scattering; Signal resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 2003. IEEE

Conference_Location

Columbus, OH, USA

Print_ISBN

0-7803-7846-6

Type

conf

DOI

10.1109/APS.2003.1219822

Filename

1219822