Share Email Print
cover

Proceedings Paper

Awareness-based game-theoretic space resource management
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Over recent decades, the space environment becomes more complex with a significant increase in space debris and a greater density of spacecraft, which poses great difficulties to efficient and reliable space operations. In this paper we present a Hierarchical Sensor Management (HSM) method to space operations by (a) accommodating awareness modeling and updating and (b) collaborative search and tracking space objects. The basic approach is described as follows. Firstly, partition the relevant region of interest into district cells. Second, initialize and model the dynamics of each cell with awareness and object covariance according to prior information. Secondly, explicitly assign sensing resources to objects with user specified requirements. Note that when an object has intelligent response to the sensing event, the sensor assigned to observe an intelligent object may switch from time-to-time between a strong, active signal mode and a passive mode to maximize the total amount of information to be obtained over a multi-step time horizon and avoid risks. Thirdly, if all explicitly specified requirements are satisfied and there are still more sensing resources available, we assign the additional sensing resources to objects without explicitly specified requirements via an information based approach. Finally, sensor scheduling is applied to each sensor-object or sensor-cell pair according to the object type. We demonstrate our method with realistic space resources management scenario using NASA's General Mission Analysis Tool (GMAT) for space object search and track with multiple space borne observers.

Paper Details

Date Published: 6 May 2009
PDF: 12 pages
Proc. SPIE 7330, Sensors and Systems for Space Applications III, 73300P (6 May 2009); doi: 10.1117/12.819467
Show Author Affiliations
Genshe Chen, DCM Research Resources, LLC (United States)
Huimin Chen, Univ. of New Orleans (United States)
Khanh Pham, Air Force Research Lab. (United States)
Erik Blasch, Air Force Research Lab. (United States)
Jose B. Cruz Jr., The Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 7330:
Sensors and Systems for Space Applications III
Joseph L. Cox; Pejmun Motaghedi, Editor(s)

© SPIE. Terms of Use
Back to Top