A Radar Anti-Jamming Method via Game Theoretic Strategy Optimization with Temporal Constraints

Cheng Feng; Xiongjun Fu; Ping Lang; Congxia Zhao; Jian Dong; Teng Pan

doi:10.1109/ACCESS.2022.3200761

A Radar Anti-Jamming Method via Game Theoretic Strategy Optimization with Temporal Constraints

Cheng Feng, Xiongjun Fu, Ping Lang, Congxia Zhao, Jian Dong, Teng Pan

School of Integrated Circuits and Electronics

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

The confrontation between radar and jammer is increasingly competitive in electromagnetic spectrum warfare. The current radar anti-jamming methods are constrained to some extent in complex electromagnetic environment. To improve the anti-jamming capacity of radar system, a game theory-based optimization method is proposed to enhance the decision-making of anti-jamming strategy in this paper. First, a temporal sequence interaction based dynamic game model between radar and jammer is constructed. Then, Q-learning is performed to optimize the radar anti-jamming strategies. The simulation experimental results show that the proposed method can significantly improve the radar winning probability in the confrontation.

Original language	English
Pages (from-to)	1
Number of pages	1
Journal	IEEE Access
DOIs	https://doi.org/10.1109/ACCESS.2022.3200761
Publication status	Accepted/In press - 2022

Keywords

Game theory
Game theory
Jamming
Optimization
Optimization methods
Radar
Radar countermeasures
Radar countermeasures
Radar detection
Radar remote sensing

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10.1109/ACCESS.2022.3200761

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Feng, C., Fu, X., Lang, P., Zhao, C., Dong, J., & Pan, T. (Accepted/In press). A Radar Anti-Jamming Method via Game Theoretic Strategy Optimization with Temporal Constraints. IEEE Access, 1. https://doi.org/10.1109/ACCESS.2022.3200761

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abstract = "The confrontation between radar and jammer is increasingly competitive in electromagnetic spectrum warfare. The current radar anti-jamming methods are constrained to some extent in complex electromagnetic environment. To improve the anti-jamming capacity of radar system, a game theory-based optimization method is proposed to enhance the decision-making of anti-jamming strategy in this paper. First, a temporal sequence interaction based dynamic game model between radar and jammer is constructed. Then, Q-learning is performed to optimize the radar anti-jamming strategies. The simulation experimental results show that the proposed method can significantly improve the radar winning probability in the confrontation.",

keywords = "Game theory, Game theory, Jamming, Optimization, Optimization methods, Radar, Radar countermeasures, Radar countermeasures, Radar detection, Radar remote sensing",

author = "Cheng Feng and Xiongjun Fu and Ping Lang and Congxia Zhao and Jian Dong and Teng Pan",

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AU - Feng, Cheng

AU - Fu, Xiongjun

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AU - Zhao, Congxia

AU - Dong, Jian

AU - Pan, Teng

N1 - Publisher Copyright: Author

PY - 2022

Y1 - 2022

N2 - The confrontation between radar and jammer is increasingly competitive in electromagnetic spectrum warfare. The current radar anti-jamming methods are constrained to some extent in complex electromagnetic environment. To improve the anti-jamming capacity of radar system, a game theory-based optimization method is proposed to enhance the decision-making of anti-jamming strategy in this paper. First, a temporal sequence interaction based dynamic game model between radar and jammer is constructed. Then, Q-learning is performed to optimize the radar anti-jamming strategies. The simulation experimental results show that the proposed method can significantly improve the radar winning probability in the confrontation.

AB - The confrontation between radar and jammer is increasingly competitive in electromagnetic spectrum warfare. The current radar anti-jamming methods are constrained to some extent in complex electromagnetic environment. To improve the anti-jamming capacity of radar system, a game theory-based optimization method is proposed to enhance the decision-making of anti-jamming strategy in this paper. First, a temporal sequence interaction based dynamic game model between radar and jammer is constructed. Then, Q-learning is performed to optimize the radar anti-jamming strategies. The simulation experimental results show that the proposed method can significantly improve the radar winning probability in the confrontation.

KW - Game theory

KW - Jamming

KW - Optimization

KW - Optimization methods

KW - Radar

KW - Radar countermeasures

KW - Radar detection

KW - Radar remote sensing

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JO - IEEE Access

JF - IEEE Access

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A Radar Anti-Jamming Method via Game Theoretic Strategy Optimization with Temporal Constraints

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Keywords

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