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

Feng Wang; Thomas F. Eibert; Ya Qiu Jin

doi:10.1109/TGRS.2014.2376940

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

Feng Wang, Thomas F. Eibert, Ya Qiu Jin

Chair of High-Frequency Engineering

Fudan University

Research output: Contribution to journal › Article › peer-review

60 Scopus citations

Abstract

Simulation of inverse synthetic aperture radar (ISAR) imaging of a space target and reconstruction under sparse sampling via compressed sensing (CS) are developed. The numerical bidirectional analytic ray tracing (BART) method is employed to compute the polarized scattering from an electrically large target. With multiorbit and multistation imaging modes, 2D and 3D ISAR images are acquired, leading to information retrieval of the space target, such as shape, structure, attitude, etc. CS is introduced into the reconstruction of ISAR images under sparse sampling. As an example, the models of the Aura satellite and the X-37B orbital test vehicle are presented for ISAR imaging and reconstruction.

Original language	English
Article number	7021944
Pages (from-to)	3432-3441
Number of pages	10
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	53
Issue number	6
DOIs	https://doi.org/10.1109/TGRS.2014.2376940
State	Published - 1 Jun 2015

Keywords

Compressed sensing (CS)
inverse synthetic aperture radar (ISAR) imaging
reconstruction
scattering simulation
space target

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10.1109/TGRS.2014.2376940

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

abstract = "Simulation of inverse synthetic aperture radar (ISAR) imaging of a space target and reconstruction under sparse sampling via compressed sensing (CS) are developed. The numerical bidirectional analytic ray tracing (BART) method is employed to compute the polarized scattering from an electrically large target. With multiorbit and multistation imaging modes, 2D and 3D ISAR images are acquired, leading to information retrieval of the space target, such as shape, structure, attitude, etc. CS is introduced into the reconstruction of ISAR images under sparse sampling. As an example, the models of the Aura satellite and the X-37B orbital test vehicle are presented for ISAR imaging and reconstruction.",

keywords = "Compressed sensing (CS), inverse synthetic aperture radar (ISAR) imaging, reconstruction, scattering simulation, space target",

author = "Feng Wang and Eibert, {Thomas F.} and Jin, {Ya Qiu}",

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AU - Eibert, Thomas F.

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AB - Simulation of inverse synthetic aperture radar (ISAR) imaging of a space target and reconstruction under sparse sampling via compressed sensing (CS) are developed. The numerical bidirectional analytic ray tracing (BART) method is employed to compute the polarized scattering from an electrically large target. With multiorbit and multistation imaging modes, 2D and 3D ISAR images are acquired, leading to information retrieval of the space target, such as shape, structure, attitude, etc. CS is introduced into the reconstruction of ISAR images under sparse sampling. As an example, the models of the Aura satellite and the X-37B orbital test vehicle are presented for ISAR imaging and reconstruction.

KW - Compressed sensing (CS)

KW - inverse synthetic aperture radar (ISAR) imaging

KW - reconstruction

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

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