Chaff Jamming Recognition of Radar

Min Xie, Shuang Zhao, Xiongjun Fu*, Tianyu Zhang, Kaiqiang Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

A modified chaff jamming recognition method of radar is investigated using grey relational analysis (GRA) based on the difference in echo correlation characteristics between a complex rigid target and chaff cloud in time domain. Slice method (SM), a novel modeling approach, is proposed to construct an electromagnetic scattering model of chaff cloud in a scenario with slowly moving platform that is targeted. The diffusion characteristics and echo characteristics of the chaff cloud are analyzed. The GRA of a real target and chaff cloud shows that the adjacent return waves have a good correlation for the target but a weak correlation for chaff cloud. Since the correlation degree of chaff cloud's echo is far lower than that of a complex rigid target's, the chaff jamming can be identified by setting a reasonable threshold. Simulation results are presented to verify the effectiveness of this method.

Original languageEnglish
Pages (from-to)43-50
Number of pages8
JournalJournal of Beijing Institute of Technology (English Edition)
Volume27
Issue number1
DOIs
Publication statusPublished - 1 Mar 2018

Keywords

  • Anti-jamming
  • Chaff jamming
  • Grey relational analysis
  • Radar

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