A new approach to moving targets and background separation in multi-channel SAR

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

This paper describes a new approach for decoupling the slowly-moving targets and the clutter under multi-channel SAR (Synthetic Aperture Radar) scenarios. Given the phase histories received by different channels, the high-level data structures, e.g.The sparsities of moving targets, enable us to enforce advanced constraints on an optimisation problem to distinguish the dynamic targets from static background. Specifically, an iterative method is employed for the decomposition by alternatively updating the arguments. The dynamic parts can then be used for the subsequent analysis on states of the targets, and the static parts, in the case that the background does not change significantly over time, can be inherited in subsequent sub-Aperture processings. The presented approach is demonstrated on simulated three-channel SAR data.

Original languageEnglish
Title of host publication2016 IEEE Radar Conference, RadarConf 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509008636
DOIs
Publication statusPublished - 3 Jun 2016
Event2016 IEEE Radar Conference, RadarConf 2016 - Philadelphia, United States
Duration: 2 May 20166 May 2016

Conference

Conference2016 IEEE Radar Conference, RadarConf 2016
Country/TerritoryUnited States
CityPhiladelphia
Period2/05/166/05/16

Keywords / Materials (for Non-textual outputs)

  • compressed sensing
  • GMTI
  • SAR
  • sparsity

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