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Proceedings Paper

Resident space object tracking using an interacting multiple model mixing scheme
Author(s): Quang M. Lam
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Paper Abstract

A multiple model estimation scheme is proposed to enhance the robustness of a resident space object (RSO) tracker subject to its maneuverability uncertainties (unplanned or unknown jet firing activities) and other system variations. The concept is based on the Interacting Multiple Model (IMM) estimation scheme. Within the IMM framework, two Extended Kalman Filter (EKF) models: (i) a 6 State (Position and Velocity of a constant orbiting RSO) EKF and (ii) a 9 state (Position, Velocity, and Acceleration of a maneuvering RSO) EKF are designed and implemented to achieve RSO maneuvering detection and enhanced tracking accuracy. The IMM estimation scheme is capable of providing enhanced state vector estimation accuracy and consistent prediction of the RSO maneuvering status, thus offering an attractive design feature for future Space Situational Awareness (SSA) missions. The design concept is illustrated using the Matlab/Based Simulation testing environment.

Paper Details

Date Published: 3 June 2014
PDF: 15 pages
Proc. SPIE 9085, Sensors and Systems for Space Applications VII, 90850V (3 June 2014); doi: 10.1117/12.2054999
Show Author Affiliations
Quang M. Lam, LexerdTek Corp. (United States)


Published in SPIE Proceedings Vol. 9085:
Sensors and Systems for Space Applications VII
Khanh D. Pham; Joseph L. Cox, Editor(s)

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