Three-dimensional ISAR imaging for space target via multi-pass orbit observation

Huipeng Zhao, Junling Wang, Meiguo Gao

Research output: Contribution to conferencePaperpeer-review

Abstract

A three-dimensional (3D) inverse synthetic aperture radar (ISAR) imaging method for space target using two-dimensional (2D) image sequence of multi-pass is proposed in this paper. The variation characteristics of the Radar Line of Sight (RLOS) and the 2D back projection (BP) imaging result of 3D target in the satellite based coordinate system are analyzed. CLENA algorithm is used to extract scatterers of 2D image, and then the scatterer association of multi-pass is accomplished according to analytical relationship between 2D imaging results and angular parameters of RLOS. The scatterers' 3D coordinates are reconstructed during the association process. Numerical simulations are used to evaluate the effectiveness of the proposed method.

Original languageEnglish
Publication statusPublished - 2017
Event2017 International Conference on Radar Systems, Radar 2017 - Belfast, United Kingdom
Duration: 23 Oct 201726 Oct 2017

Conference

Conference2017 International Conference on Radar Systems, Radar 2017
Country/TerritoryUnited Kingdom
CityBelfast
Period23/10/1726/10/17

Keywords

  • 3D ISAR imaging
  • Back projection
  • Multi-pass observation
  • Scatterer association
  • Space target

Fingerprint

Dive into the research topics of 'Three-dimensional ISAR imaging for space target via multi-pass orbit observation'. Together they form a unique fingerprint.

Cite this