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Proceedings Paper

An orbital emulator for pursuit-evasion game theoretic sensor management
Author(s): Dan Shen; Tao Wang; Gang Wang; Bin Jia; Zhonghai Wang; Genshe Chen; Erik Blasch; Khanh Pham
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Paper Abstract

This paper develops and evaluates an orbital emulator (OE) for space situational awareness (SSA). The OE can produce 3D satellite movements using capabilities generated from omni-wheeled robot and robotic arm motion methods. The 3D motion of a satellite is partitioned into the movements in the equatorial plane and the up-down motions in the vertical plane. The 3D actions are emulated by omni-wheeled robot models while the up-down motions are performed by a stepped-motor-controlled-ball along a rod (robotic arm), which is attached to the robot. For multiple satellites, a fast map-merging algorithm is integrated into the robot operating system (ROS) and simultaneous localization and mapping (SLAM) routines to locate the multiple robots in the scene. The OE is used to demonstrate a pursuit-evasion (PE) game theoretic sensor management algorithm, which models conflicts between a space-based-visible (SBV) satellite (as pursuer) and a geosynchronous (GEO) satellite (as evader). The cost function of the PE game is based on the informational entropy of the SBV-tracking-GEO scenario. GEO can maneuver using a continuous and low thruster. The hard-in-loop space emulator visually illustrates the SSA problem solution based PE game.

Paper Details

Date Published: 18 May 2017
PDF: 10 pages
Proc. SPIE 10196, Sensors and Systems for Space Applications X, 101960D (18 May 2017); doi: 10.1117/12.2266606
Show Author Affiliations
Dan Shen, Intelligent Fusion Technology, Inc. (United States)
Tao Wang, Intelligent Fusion Technology, Inc. (United States)
Gang Wang, Intelligent Fusion Technology, Inc. (United States)
Bin Jia, Intelligent Fusion Technology, Inc. (United States)
Zhonghai Wang, Intelligent Fusion Technology, Inc. (United States)
Genshe Chen, Intelligent Fusion Technology, Inc. (United States)
Erik Blasch, Air Force Research Lab. (United States)
Khanh Pham, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 10196:
Sensors and Systems for Space Applications X
Khanh D. Pham; Genshe Chen, Editor(s)

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