Abstract
Active jamming with diverse types and variable parameters poses a significant threat to the operational effectiveness of modern radars. Accurately and rapidly characterizing jamming threat can provide guidance for radar anti-jamming. From the perspective of the radar anti-jamming closed-loop system, the paper extracts frequency domain features as threat indicators from two aspects: the difficulty of eliminating suppression jamming and the accuracy of deception jamming identification, assessing jamming threat based on the signal-level. Through a consistent simulation analysis of the proposed threat indicators and anti-jamming indicators, it has been quantitatively demonstrated that the threat indicators can represent the adverse effects of jamming on radar anti-jamming systems. Finally, the proposed method has been proven to be effective based on experimental data.
Original language | English |
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Pages (from-to) | 2586-2592 |
Number of pages | 7 |
Journal | IET Conference Proceedings |
Volume | 2023 |
Issue number | 47 |
DOIs | |
Publication status | Published - 2023 |
Event | IET International Radar Conference 2023, IRC 2023 - Chongqing, China Duration: 3 Dec 2023 → 5 Dec 2023 |
Keywords
- JAMMING THREAT ASSESSMENT
- RADAR JAMMING
- SIGNAL-LEVEL
- SPECTRUM ANALYSIS