An Adaptive ISAR Imaging Method Based on Evidence Framework

Author

Hongchao Liu ; Bo Jiu ; Hongwei Liu ; Zheng Bao

Author_Institution

Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´an, China

Volume

11

Issue

6

fYear

2014

fDate

Jun-14

Firstpage

1031

Lastpage

1035

Abstract

This letter presents an adaptive inverse synthetic aperture radar (ISAR) imaging algorithm based on evidence framework. This imaging algorithm iterates between sparse coding and parameter estimation until a fixed number of iterations is reached. An efficient Hessian update scheme is applied for sparse coding. In the parameter estimation step, the closed forms of parameters are obtained based on evidence framework. Experiments based on simulated and measured data are given to show the efficiency of the proposed ISAR imaging algorithm.

Keywords

radar imaging; remote sensing by radar; synthetic aperture radar; adaptive ISAR imaging algorithm; adaptive ISAR imaging method; efficient Hessian update scheme; inverse synthetic aperture radar; parameter estimation; sparse coding; Adaptation models; Bayes methods; Convergence; Estimation; Image resolution; Imaging; Radar imaging; Adaptive; evidence framework; inverse synthetic aperture radar (ISAR); maximum a posteriori (MAP); parameter estimation;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2013.2281194

Filename

6680656