Research on Jamming Decision Making Based on Feedback Iterative-Brown Algorithm

Fang Ye, Xiaoyu Li, T. Jiang, Yibing Li, Yingsong Li
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引用次数: 4

Abstract

Electronic countermeasures are moving towards intelligence. Due to the constantly changing decision-making of both parties, traditional decision-making methods are no longer applicable. Introducing game theory into electronic confrontation decision-making can solve this problem and model the opponents as two-person zero-sum games. In order to improve the average return of the interferer, this paper proposes the feedback iterative-Brown algorithm to adjust the hybrid strategy. Simulation results prove that the algorithm proposed in this paper can effectively improve the average return of the interferer.
基于反馈迭代brown算法的干扰决策研究
电子对抗正在向智能化发展。由于双方决策的不断变化,传统的决策方法已不再适用。将博弈论引入电子对抗决策可以解决这一问题,并将对手建模为两人零和博弈。为了提高干扰的平均收益,本文提出了反馈迭代-布朗算法来调整混合策略。仿真结果表明,本文提出的算法能够有效地提高干扰源的平均回波。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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