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Min Xie, Shuang Zhao, Xiongjun Fu, Tianyu Zhang, Kaiqiang Liu. Chaff Jamming Recognition of Radar[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2018, 27(1): 43-50. doi: 10.15918/j.jbit1004-0579.201827.0106
Citation: Min Xie, Shuang Zhao, Xiongjun Fu, Tianyu Zhang, Kaiqiang Liu. Chaff Jamming Recognition of Radar[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2018, 27(1): 43-50.doi:10.15918/j.jbit1004-0579.201827.0106
shu

Chaff Jamming Recognition of Radar

doi:10.15918/j.jbit1004-0579.201827.0106

  • School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

  • Received Date:2017-03-16
    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.
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    • References (11)
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