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首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >Target Selection for Tracking in Multifunction Radar Networks: Nash and Correlated Equilibria
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Target Selection for Tracking in Multifunction Radar Networks: Nash and Correlated Equilibria

机译：多功能雷达网络中跟踪的目标选择：纳什和相关均衡

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摘要

We consider a target selection problem for multitarget tracking in a multifunction radar network from a game-theoretic perspective. The problem is formulated as a noncooperative game. The radars are considered to be players in this game with utilities modeled using a proper tracking accuracy criterion and their strategies are the observed targets whose number is known. Initially, for the problem of coordination, the Nash equilibria are characterized and, in order to find equilibria points, a distributed algorithm based on the best response dynamics is proposed. Afterward, the analysis is extended to the case of partial target observability and radar connectivity and heterogeneous interests among radars. The solution concept of correlated equilibria is employed and a distributed algorithm based on the regret matching is proposed. The proposed algorithms are shown to perform well compared to the centralized approach of significantly higher complexity.
机译：从博弈论的角度考虑多功能雷达网络中多目标跟踪的目标选择问题。该问题被表述为非合作博弈。雷达被认为是本场比赛的参与者，其实用程序使用适当的跟踪精度标准进行建模，而雷达的策略是已知数量的被观察目标。最初，针对协调问题，对纳什均衡进行了表征，并为了找到均衡点，提出了一种基于最佳响应动力学的分布式算法。之后，分析扩展到部分目标可观察性和雷达连通性以及雷达之间的异质性利益的情况。运用相关均衡的解决方案概念，提出了一种基于后悔匹配的分布式算法。与复杂度明显更高的集中式方法相比，所提出的算法表现出良好的性能。

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