Coupling signal suppression method of ground-based synthetic aperture radar based on singular value decomposition

Lilei Yin, Weiming Tian, Zehai Wang, Tao Zeng, Maokui Mei

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

4 Citations (Scopus)

Abstract

In ground-based frequency modulated continuous wave (FMCW) synthetic aperture radar (SAR) images, false targets caused by coupling signal may appear. Traditional digital cancellation methods cannot estimate reference cancellation signal in real-time. A new method based on singular value decomposition (SVD) to suppress radar coupling signal is put forward. In slow time coupling signal is changeless while echo signal is changing, with which the reference cancellation signal can be estimated by SVD method. However, if there are too many points in range and frames in azimuth, the SVD algorithm will be too complicated to process echo data. So echo matrix partition and sub-matrixes decomposition are used in SVD processing to reduce the algorithm cost of time and space. There is a coupling signal suppression experiment using the ground-based FMCW SAR system In this paper. The validity of new method has been verified.

Original languageEnglish
Title of host publication2016 CIE International Conference on Radar, RADAR 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509048281
DOIs
Publication statusPublished - 4 Oct 2017
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

  • Digital cancellation
  • FMCW
  • Matrix decomposition
  • SAR
  • SVD

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