Space based sensor management strategies based on informational uncertainty pursuit-evasion games

Dan Shen, B. Jia, Genshe Chen, K. Pham, Erik Blasch
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引用次数: 7

Abstract

In this paper, a pursuit-evasion (PE) orbital game approach for space situational awareness (SSA) is presented to deal with imperfect measurements and information with uncertainties. The objective function includes the distance to be minimized by pursuers (observers/sensors) and maximized by evaders (space objects being tracked). The proposed PE approach provides a method to solve the realistic SSA problem with imperfect state information, where the evader will exploit the sensing and tracking model to confuse their opponents by corrupting their tracking estimates, while the pursuer wants to 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. Both SBSS and GEO apply the continuous low-thrust such as the Ion thrust in maneuvers. An add-on module is developed for the NORAD SGP4/SDP4 to propagate the satellites with maneuvers. Worst case maneuvering strategies for SBSS satellites are obtained from the Nash equilibrium of the PE game.
基于信息不确定性追逃博弈的空间传感器管理策略
针对不完全测量和信息不确定的情况,提出了一种空间态势感知(SSA)的追踪-逃避(PE)轨道博弈方法。目标函数包括被追踪者(观察者/传感器)最小化和被躲避者(被跟踪的空间物体)最大化的距离。该方法提供了一种解决状态信息不完全的现实SSA问题的方法,其中逃避者利用感知和跟踪模型通过破坏对手的跟踪估计来混淆对手,而追踪者则希望减少跟踪不确定性。以一颗天基空间监视(SBSS)卫星作为追踪卫星,一颗地球同步(GEO)卫星作为规避卫星,模拟了PE轨道博弈方法的数值模拟场景。SBSS和GEO都在机动中使用连续的低推力,如离子推力。为NORAD SGP4/SDP4开发了一个附加模块,用于传播具有机动的卫星。根据PE博弈的纳什均衡,得到了SBSS卫星的最坏情况机动策略。
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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