A novel method for multi-targets ISAR imaging

Lei Liu, Feng Zhou, Yongqiang Guo, Mingliang Tao, Pange Sun, Zijing Zhang

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

4 Scopus citations

Abstract

A novel multi-targets ISAR imaging method based on particle swarm optimization (PSO) and modified CLEAN technique is proposed in this paper. First, multi-targets are modeled as several separated group-targets in which translational motion of each target is analogous. And then, translational motion of each group-target is modeled as a polynomial, and the polynomial coefficient is estimated via PSO. Then focused image of the group-target can be obtained and extracted via a modified CLEAN technique. Meanwhile, each target can be segmented and extracted based on clustering number estimation and K-means clustering algorithm. Finally, better focused image of each target would be obtained through further traditional mono-target imaging processing. Experimental results verify the validity of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages314-319
Number of pages6
ISBN (Electronic)9781467372961
DOIs
StatePublished - 23 Oct 2015
Externally publishedYes
Event5th IEEE Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015 - Singapore, Singapore
Duration: 1 Sep 20154 Sep 2015

Publication series

NameProceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015

Conference

Conference5th IEEE Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015
Country/TerritorySingapore
CitySingapore
Period1/09/154/09/15

Keywords

  • clustering algorithm
  • Inverse synthetic aperture radar (ISAR)
  • modified CLEAN
  • multi-targets
  • particle swarm optimization (PSO)

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