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 language | English |
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Pages (from-to) | 43-50 |
Number of pages | 8 |
Journal | Journal of Beijing Institute of Technology (English Edition) |
Volume | 27 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Mar 2018 |
Keywords
- Anti-jamming
- Chaff jamming
- Grey relational analysis
- Radar