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

Feng Wang, Thomas F. Eibert, Ya Qiu Jin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publication2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467352253
DOIs
StatePublished - 17 Oct 2014
Event31st General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2014 - Beijing, China
Duration: 16 Aug 201423 Aug 2014

Publication series

Name2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014

Conference

Conference31st General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2014
Country/TerritoryChina
CityBeijing
Period16/08/1423/08/14

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