Intelligent identification of radar active spoofing jamming

Tongbing Zhang; Ziqiao Yuan; Huihui Wang

doi:10.1117/12.2655863

12 January 2023 Intelligent identification of radar active spoofing jamming

Tongbing Zhang, Ziqiao Yuan, Huihui Wang

Proceedings Volume 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022); 1250908 (2023) https://doi.org/10.1117/12.2655863
Event: Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 2022, Guangzhou, China

Abstract

In modern military operations, in which electronic warfare plays an increasingly important role, radar jamming and anti-jamming technology is always an important research topic. With the rapid development of digital radio frequency memory technology (DRFM) in recent years, the development of deceptive jamming has made great progress, and numerous jams with good deception effect have been put into the actual battle and play an important role. Most of the current research on the classification of active deceptive jamming has chosen fewer types of jamming and is less generalizable. This paper addresses this problem by selecting a variety of types of spoofing jamming and compound jamming, and after extracting suitable feature parameters, using support vector machines and BP neural networks for classification, the trained classifiers have better performance in terms of accuracy and robustness, as well as generalizability, providing a theoretical basis for engineering applications.

Citation Download Citation

Tongbing Zhang, Ziqiao Yuan, and Huihui Wang "Intelligent identification of radar active spoofing jamming", Proc. SPIE 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 1250908 (12 January 2023); https://doi.org/10.1117/12.2655863

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KEYWORDS

Radar

Neural networks

Frequency modulation

Feature extraction

Interference (communication)

Neurons

Modeling and simulation

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