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Proceedings Paper

Comparison of several space target tracking filters
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Paper Abstract

In this paper, we present a comparative study of several nonlinear filters, namely, extended Kalman Filter (EKF), unscented KF (UKF), particle filter (PF), and recursive linear minimum mean square error (LMMSE) filter for the problem of satellite trajectory estimation. We evaluate the tracking accuracy of the above filtering algorithms and obtain the posterior Cramer-Rao lower bound (PCRLB) of the tracking error for performance comparison. Based on the simulation results, we provide recommendations on the practical tracking filter selection and guidelines for the design of observer configurations.

Paper Details

Date Published: 6 May 2009
PDF: 12 pages
Proc. SPIE 7330, Sensors and Systems for Space Applications III, 73300I (6 May 2009); doi: 10.1117/12.819470
Show Author Affiliations
Huimin Chen, Univ. of New Orleans (United States)
Genshe Chen, DCM Research Resources, LLC (United States)
Erik Blasch, Air Force Research Lab. (United States)
Khanh Pham, Air Force Research Lab. (United States)

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

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