SAR Image Scattering Center Estimation via Atomic Norm Minimization

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

3 Citations (Scopus)

Abstract

Scatter center matching is one of the choke points of radar automatic target recognition (RATR) based on Synthetic Aperture Radar (SAR). Accuracy of scattering center extraction is an important factor affecting target recognition performance. This paper proposes a SAR images scattering center estimation method based on atomic norm minimization (ANM) model. This method models the scattering center estimation problem as a two-dimensional line spectrum estimation problem, then the estimation is performed in a continuous domain via ANM. The experimental results indicate the superiorities of the proposed method in terms of accuracy and robustness.

Original languageEnglish
Title of host publication2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728129129
DOIs
Publication statusPublished - Nov 2019
Event6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019 - Xiamen, China
Duration: 26 Nov 201929 Nov 2019

Publication series

Name2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019

Conference

Conference6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
Country/TerritoryChina
CityXiamen
Period26/11/1929/11/19

Keywords

  • ANM
  • RATR
  • SAR
  • scattering center

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Xi, Y., Liu, H., Wang, Y., & Li, Y. (2019). SAR Image Scattering Center Estimation via Atomic Norm Minimization. In 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019 Article 9048386 (2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSAR46974.2019.9048386