J Shanghai Jiaotong Univ Sci ›› 2022, Vol. 27 ›› Issue (5): 649-659.doi: 10.1007/s12204-021-2372-7

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  • 收稿日期:2019-09-02 出版日期:2022-09-28 发布日期:2022-09-03

Game Theory Based Sensor Management in Reducing Target Threat Level Assessment Risk

PANG Ce∗ (庞策), SHAN Ganlin (单甘霖)   

  1. (Department of Electronic and Optical Engineering, Army Engineering University Shijiazhuang Campus, Shijiazhuang 050003, China)
  • Received:2019-09-02 Online:2022-09-28 Published:2022-09-03

Abstract: Sensor management schemes are calculated to reduce target threat level assessment risk in this paper. Hidden Markov model and risk theory are combined to build the target threat level model firstly. Then the target threat level estimation risk is defined. And the sensor management schemes are optimized with the smallest target threat level assessment risk. What’s more, the game theory is applied to calculate the optimal sensor management scheme. Some simulations are conducted to prove that the proposed sensor management method is effective.

Key words: target threat level assessment, sensor management, hidden Markov model, risk theory, game theory

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