3-D imaging of general configuration spaceborne bistatic SAR based on compressive sensing

Lu Guo, Mei Liu, Peng Fei Wang

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

Abstract

General bistatic synthetic aperture radar SAR (BiSAR) has unequal velocities or/and nonparallel tracks, which is more challenging to process than monostatic and translational invariant configuration. Bistatic SAR has many advantages in three dimensional tomography than classical monostatic, such as no layover and regularly distribution baseline. However, processing bistatic SAR data has a lot of difficulties. Several monostatic algorithms have been modified to solve the problem of general case, but their performance still need improvement. In this paper, three-dimensional BiSAR signal model is derived, and a novel 3-D imaging of general spaceborne Bistatic SAR based on Compressive Sensing is presented, called NCS-CSM (Nonlinear Chirp Scaling-Compressive Sensing Method). The three dimensional tomography experiments validate the effectiveness and accuracy of NCS-CSM.

Original languageEnglish
Title of host publication2016 CIE International Conference on Radar, RADAR 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509048281
DOIs
StatePublished - 4 Oct 2017
Externally publishedYes
Event2016 CIE International Conference on Radar, RADAR 2016 - Guangzhou, China
Duration: 10 Oct 201613 Oct 2016

Publication series

Name2016 CIE International Conference on Radar, RADAR 2016

Conference

Conference2016 CIE International Conference on Radar, RADAR 2016
Country/TerritoryChina
CityGuangzhou
Period10/10/1613/10/16

Keywords

  • Bistatic SAR
  • Compressive Sensing
  • General configuration
  • Nonlinear chirp scaling

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