A Novel ISAR Imaging Algorithm for Maneuvering Targets Based on Sparse Signal Representation

Author

Cheng, Ping ; Jiang, Yicheng ; Xu, Rongqing

Author_Institution

Res. Inst. of Electron. Eng. Technol., Harbin Inst. of Technol.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

10126

Lastpage

10129

Abstract

A novel imaging algorithm is proposed for inverse synthetic aperture radar (ISAR). Sparse signal representation, with great flexibility in matching structure in the data, can be used for maneuvering targets imaging. However, for complex-valued radar signals, the popular basis pursuit and FOCUSS (focal underdetermined system solver) algorithms have big computation. An efficient iterative method is presented as a novel imaging algorithm, which was first proposed for regularized problems. Applying the new algorithm into simulating and real radar data can obtain ISAR images with good quality. It shows that the proposed method is an efficient and a promising ISAR imaging method for maneuvering targets

Keywords

image processing; iterative methods; radar signal processing; synthetic aperture radar; FOCUSS algorithm; ISAR imaging algorithm; basis pursuit algorithm; complex-valued radar signals; focal underdetermined system solver; inverse synthetic aperture radar; iterative method; sparse signal representation; target maneuvering; Dictionaries; Doppler radar; Focusing; Inverse synthetic aperture radar; Iterative algorithms; Pursuit algorithms; Radar imaging; Sensor arrays; Signal representations; Signal resolution; Basis Pursuit; FOCUSS; ISAR; Maneuvering; Sparse signal representation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713981

Filename

1713981