用于躲避目标定位的传感器管理:博弈论的好处

B. Ristic, A. Skvortsov, S. Arulampalam, D. Kim
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引用次数: 0

摘要

本文研究了应用(非合作)博弈论在传感器管理背景下搜索和定位逃避目标的好处,让人联想到一个追捕-逃避游戏。跟踪平台配备了一个方位传感器,并使用多步提前博弈论方法依次决定下一步的移动位置。我们量化了逃避平台在不同智能水平下的生存时间:从与逃避者完全匹配的水平到完全缺乏智能。数值结果证实了博弈论智能的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensor Management for Localisation of an Evasive Target: The Benefits of Game Theory
This paper investigates the benefits of applying the (non-cooperative) game theory in the context of sensor management for search and localisation of an evasive target, reminiscent of a pursuit - evasion game. The pursuing platform is equipped with a bearings-only sensor and decides sequentially where to move next, using a multiple-step ahead game theoretic approach. We quantify the duration of the evading platform survival for different levels of its intelligence: from the level fully matched to that of the evader to the total lack of intelligence. Numerical results confirm the necessity of the game theoretic intelligence.
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