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首页> 外文会议>Proceedings of the 2016 IEEE National Aerospace and Electronics Conference >Pursuit-evasion game theoretic uncertainty oriented sensor management for elusive space objects
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Pursuit-evasion game theoretic uncertainty oriented sensor management for elusive space objects

机译：追求逃避博弈理论的不确定性面向难以捉摸的空间物体的传感器管理

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摘要

A pursuit-evasion (PE) orbital game approach for space situational awareness (SSA) is presented to deal with imperfect measurements and informational uncertainties. In the two-sided optimization problem, a pursuer (an observer or sensor) will use the sensor resource to minimize the uncertainty (modeled by entropy) while an evader (a space object being tracked) will maximize it by performing space maneuvers. Since the cost and opportunity cost of sensor resources, pursuer will make decisions on the when to use these resources. The proposed PE approach provides a method to solve the SSA problem, where the evader will exploit the sensing and tracking model to confuse the opponent by corrupting their tracking estimates, while the pursuer wants to efficiently decrease the tracking uncertainties. A numerical simulation scenario with one space based space surveillance (SBSS) satellite as a pursuer and one geosynchronous (GEO) satellite as an evader is simulated to demonstrate the PE orbital game approach. The GEO applies the continuous low-thrust such as the Ion thrust in maneuvers. An add-on module is developed for SGP4/SDP4 algorithms to propagate the satellites with maneuvers. The GEO maneuvering strategies and on-off measurement controls for SBSS are obtained from the Nash equilibrium of the PE game.
机译：提出了一种用于空间态势感知（SSA）的追逃（PE）轨道博弈方法，以应对不完善的测量和信息不确定性。在双向优化问题中，跟踪者（观察者或传感器）将使用传感器资源来最小化不确定性（由熵建模），而逃避者（被跟踪的空间物体）将通过执行空间机动来最大化不确定性。由于传感器资源的成本和机会成本，跟踪器将决定何时使用这些资源。所提出的PE方法提供了一种解决SSA问题的方法，逃避者将利用感知和跟踪模型通过破坏对手的跟踪估计来迷惑对手，而追赶者则希望有效地降低跟踪的不确定性。以一枚基于空间的空间监视（SBSS）卫星作为追踪器和一枚地球同步（GEO）卫星作为躲避者的数值模拟方案进行了仿真，以演示PE轨道博弈方法。 GEO在演习中应用连续的低推力，例如离子推力。开发了用于SGP4 / SDP4算法的附加模块，以通过操纵传播卫星。 SBSS的GEO操纵策略和开关量测量控件是从PE游戏的Nash平衡中获得的。

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