Simulation of ISAR imaging for a space target and reconstruction under sparse sampling via compressed sensing

Author

Feng Wang ; Eibert, Thomas F. ; Ya-Qiu Jin

Author_Institution

Key Lab. for Inf. Sci. of Electromagn. Waves (MoE), Fudan Univ., Shanghai, China

fYear

2014

fDate

16-23 Aug. 2014

Firstpage

1

Lastpage

4

Abstract

Simulation of Inverse synthetic aperture radar (ISAR) imaging of space targets and reconstruction under sparse sampling via compressed sensing (CS) are investigated. The numerical method of bidirectional analytic ray tracing (BART) is employed to compute the polarized scattering from an electrically large target. With multi-orbit and multistation imaging mode, two-D and three-D (dimensional) ISAR images are acquired. CS is introduced into the reconstruction of the ISAR image under sparse sampling. As example, a simple satellite model for the Aura satellite is presented.

Keywords

compressed sensing; image reconstruction; numerical analysis; radar imaging; synthetic aperture radar; Aura satellite; BART; CS; ISAR imaging simulation; bidirectional analytic ray tracing; compressed sensing; inverse synthetic aperture radar; multiorbit imaging mode; multistation imaging mode; numerical method; polarized scattering; space reconstruction; space target; sparse sampling; Bandwidth; Image reconstruction; Imaging; Radar imaging; Scattering; Three-dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI

Conference_Location

Beijing

Type

conf

DOI

10.1109/URSIGASS.2014.6929115

Filename

6929115