Paper
6 May 2024 Research on cognitive jamming decision making method of multifunctional radar based on PPO
Jialong Qian, Shasha Shi, Qingsong Zhou, Zhihui Li, Qinxian Chen, Zhenjia Xu, Minglin Wu
Author Affiliations +
Proceedings Volume 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024); 131072M (2024) https://doi.org/10.1117/12.3029110
Event: Fourth International Conference on Sensors and Information Technology (ICSI 2024), 2024, Xiamen, China
Abstract
The multifunctional radar (MFR) possesses robust anti-jamming capabilities, and effectively jamming with it is an urgent problem that needs to be addressed. This paper first analyzes the process of cognitive radar antagonism and subsequently constructs a jamming decision system with cognitive abilities based on real battlefield environments. An algorithm based on proximal policy optimization (PPO) is employed for the jamming decision algorithm to determine the optimal jamming strategy. Through simulation experiments, it has been demonstrated that the PPO-based jamming decision algorithm can learn the most effective jamming strategy in dynamic game conditions between radar and jammers. It exhibits faster convergence speed compared to traditional strategy gradient methods.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jialong Qian, Shasha Shi, Qingsong Zhou, Zhihui Li, Qinxian Chen, Zhenjia Xu, and Minglin Wu "Research on cognitive jamming decision making method of multifunctional radar based on PPO", Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 131072M (6 May 2024); https://doi.org/10.1117/12.3029110
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KEYWORDS
Radar

Machine learning

Education and training

Detection and tracking algorithms

Decision making

Reconnaissance

Cognitive modeling

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