Radar cognitive jamming decision method based on incomplete information game

Luwei Feng; Songtao Liu; Huazhi Xu

doi:10.1117/12.2656915

13 January 2023 Radar cognitive jamming decision method based on incomplete information game

Luwei Feng, Songtao Liu, Huazhi Xu

Proceedings Volume 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022); 1251018 (2023) https://doi.org/10.1117/12.2656915
Event: International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 2022, Qingdao, China

Abstract

To solve the jamming decision problem of the non-cooperative multifunctional radar in a complex electromagnetic environment, this paper proposes a radar cognitive jamming decision method based on an incomplete information game. First, the characteristics of current multifunctional radars are analyzed, and a radar jamming decision model is established based on an incomplete information game; then, after quantifying the gains of both sides by considering the jamming effect and radar anti-jamming capability, a jamming strategy selection algorithm is designed for unknown operating mode radars, and the magnitude of the jamming effect is used as the criterion for strategy seeking. Finally, the proposed method is scientifically verified utilizing simulation experiments. Compared with traditional radar jamming decision methods, this method proposed in this paper is more suitable for practical operation in terms of model design and gain quantification, and the increase in the number of radar operating modes has no impact on the accuracy of a strategy seeking; the output of jamming strategy is a pure strategy, which is accessible and apprehensible for equipment operators.

Citation Download Citation

Luwei Feng, Songtao Liu, and Huazhi Xu "Radar cognitive jamming decision method based on incomplete information game", Proc. SPIE 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 1251018 (13 January 2023); https://doi.org/10.1117/12.2656915

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