Awareness-based game-theoretic space resource management

Genshe Chen; Huimin Chen; Khanh Pham; Erik Blasch; Jose B. Cruz Jr.

doi:10.1117/12.819467

6 May 2009 Awareness-based game-theoretic space resource management

Genshe Chen, Huimin Chen, Khanh Pham, Erik Blasch, Jose B. Cruz Jr.

Proceedings Volume 7330, Sensors and Systems for Space Applications III; 73300P (2009) https://doi.org/10.1117/12.819467
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Genshe Chen, Huimin Chen, Khanh Pham, Erik Blasch, and Jose B. Cruz Jr. "Awareness-based game-theoretic space resource management", Proc. SPIE 7330, Sensors and Systems for Space Applications III, 73300P (6 May 2009); https://doi.org/10.1117/12.819467

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available