非合作博弈的多机协同压制IADS攻防策略分析

doi:10.3969/j.issn.1001-2400.2017.06.023

Abstract

Abstract:

A distributed virtual learning game strategy is proposed for the problem on the offense and defensive game of the Suppression of Integrated Air Defense System (IADS) by multiple fighters cooperation. By modeling the combat resources as multi-agents networks nodes, a complicated operational process integrating kind of different combat resources and accompanying detecting, jamming and attacking is researched. Considering the evaluations of threats, the evaluations of the economic strategy value and the influence of the task payment on the whole system, a profit model is developed for both offense and defensive sides under the confrontation game, and the Mixed Strategy Nash Equilibrium (MSNE) with n-person and n-strategy in the system countermeasures is solved by using this model. In our designed approach, the problem of dynamic changing of the numbers and positions for the nodes in the operational process is overcome, and the appropriate strategy can be chosen from the large profit space. Simulation results demonstrate the advantages of the designed approach in the respects of self-optimizing and self-organizing on tactical re-planning in the real time, and it is also shown that the designed approach can achieve the maximum of expected payoffs and effectively solve the problem of suppressing IADS for multiple fighters cooperation.

Key words: cooperative suppression, non-cooperative game, Nash equilibrium, virtual learning

LI Qiuni;YANG Rennong;LI Haoliang;ZHANG Huan;FENG Chao. Research on the non-cooperative game strategy of suppressing IADS for multiple fighters cooperation[J].Journal of Xidian University, 2017, 44(6): 129-137.

References

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Research on the non-cooperative game strategy of suppressing IADS for multiple fighters cooperation

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