Research on Multi Radars Anti Dilution Jamming Strategy Based on Game Theory

被引:0
|
作者
Li, Wen [1 ,2 ]
Pei, Hucheng [1 ]
Qu, Guangzhou [2 ]
Zou, Xiaoying [1 ]
机构
[1] Sci & Technol Complex Syst Control & Intelligent, Beijing 100074, Peoples R China
[2] Beijing Electromech Engn Inst, Beijing 100074, Peoples R China
关键词
Radar anti-jamming; Dilution jamming; Matrix game;
D O I
10.1007/978-981-99-0479-2_144
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to counter the impact of warship dilution jamming when the UAV radar carries out tasks of searching and striking a warship in the ocean, and to improve the strike efficiency of multiple UAVs when the strategy of how the warship releasing dilution jamming is unknown, in this paper, an anti-jamming strategy allocation method for multiple UAVs is proposed. The method takes the strategies of warship releasing jamming as its strategy set, and takes the counter-measure strategies of UAV radar as the strategy set of UAV, to build a complete information static zero-sum game model, and then use the mixed strategy Nash equilibrium result of the matrix game as the allocation criterion of multi UAV anti-jamming strategies. The balance mixed strategy is used as the allocation ratio of various anti-jamming strategies in the UAV group. Compared with the average allocation of multiple anti-jamming strategies, this allocation method can increase the number of UAVs that can correctly attack the warship rather than dilution jamming in the UAV group. With the increase of the number of UAVs, this method has more obvious advantages.
引用
收藏
页码:1565 / 1574
页数:10
相关论文
共 50 条
  • [1] Research on Multi Radars Anti Dilution Jamming Strategy Based on Game Theory
    Li, Wen
    Pei, Hucheng
    Qu, Guangzhou
    Zou, Xiaoying
    Lecture Notes in Electrical Engineering, 2023, 1010 LNEE : 1565 - 1574
  • [2] Research on Multi-radar Anti-jamming Strategy Allocation Method Under Small Risk Based on Game Theory
    Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing
    100074, China
    不详
    100074, China
    Lect. Notes Electr. Eng., (572-579):
  • [3] A Radar Anti-Jamming Strategy Based on Game Theory With Temporal Constraints
    Feng, Cheng
    Fu, Xiongjun
    Lang, Ping
    Zhao, Congxia
    Dong, Jian
    Pan, Teng
    IEEE ACCESS, 2022, 10 (97429-97438) : 97429 - 97438
  • [4] Secure Wireless Sensor Networks for Anti-Jamming Strategy Based on Game Theory
    Chkirbene, Zina
    Hamila, Ridha
    Erbad, Aiman
    2023 International Wireless Communications and Mobile Computing, IWCMC 2023, 2023, : 1101 - 1106
  • [5] Secure Wireless Sensor Networks for Anti-Jamming Strategy Based on Game Theory
    Chkirbene, Zina
    Hamila, Ridha
    Erbad, Aiman
    2023 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC, 2023, : 1101 - 1106
  • [6] Research on Anti-Jamming Algorithm of Massive MIMO Communication System Based on Multi-User Game Theory
    Guan, Mingxiang
    Wu, Zhou
    Yang, WeiGuo
    Guo, Bin
    Cao, Xuemei
    Chen, Hanying
    MOBILE NETWORKS & APPLICATIONS, 2022, 27 (04): : 1553 - 1558
  • [7] Research on Anti-Jamming Algorithm of Massive MIMO Communication System Based on Multi-User Game Theory
    Mingxiang Guan
    Zhou Wu
    WeiGuo Yang
    bin Guo
    Xuemei Cao
    Hanying Chen
    Mobile Networks and Applications, 2022, 27 : 1553 - 1558
  • [8] Intelligent Jamming Strategy for Wireless Communications Based on Game Theory
    Li, Yongcheng
    Miao, Weijian
    Gao, Zhenzhen
    Lv, Gangming
    IEEE ACCESS, 2024, 12 : 110064 - 110077
  • [9] IoT Anti-Jamming Strategy Using Game Theory and Neural Network
    Gouissem, A.
    Abualsaud, K.
    Yaacoub, E.
    Khattab, T.
    Guizani, M.
    2020 16TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE, IWCMC, 2020, : 770 - 776
  • [10] Anti-jamming strategy based on game theory in single-channel UAV communication network
    Xu, Jiangwei
    Wang, Kehao
    Zhang, Xun
    Liu, Pei
    Kong, Dejin
    Zhou, Hongkuan
    2021 SIXTH INTERNATIONAL CONFERENCE ON FOG AND MOBILE EDGE COMPUTING (FMEC), 2021, : 63 - 69