Autofocusing of ISAR images based on entropy minimization

Author

Xi, Li ; Guosui, Liu ; Ni, JinLin

Author_Institution

Electro-Photon Inst., Nanjing Univ. of Sci. & Technol., China

Volume

35

Issue

4

fYear

1999

fDate

10/1/1999 12:00:00 AM

Firstpage

1240

Lastpage

1252

Abstract

A novel autofocusing technique is developed for random translational motion compensation in inverse synthetic aperture radar (ISAR) imaging of objects. This technique is based on an entropy minimization principle and validated via a nonparametric estimation method. Images of a simulation and a real flying aircraft are used for illustration. Images of encouraging quality confirm the feasibility of autofocusing the radar images by just the requirement of minimizing the image entropy

Keywords

aerospace computing; digital simulation; estimation theory; image processing; minimisation; minimum entropy methods; motion compensation; radar imaging; synthetic aperture radar; ISAR images; autofocusing; entropy minimization; feasibility; image entropy; inverse synthetic aperture radar; radar images; random translational motion compensation; real flying aircraft; simulation; Aerospace electronics; Cost function; Doppler radar; Entropy; Focusing; Image resolution; Inverse synthetic aperture radar; Motion compensation; Radar imaging; Signal resolution;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.805442

Filename

805442