Comparison of several space target tracking filters

Huimin Chen; Genshe Chen; Erik Blasch; Khanh Pham

doi:10.1117/12.819470

6 May 2009 Comparison of several space target tracking filters

Huimin Chen, Genshe Chen, Erik Blasch, Khanh Pham

Proceedings Volume 7330, Sensors and Systems for Space Applications III; 73300I (2009) https://doi.org/10.1117/12.819470
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Huimin Chen, Genshe Chen, Erik Blasch, and Khanh Pham "Comparison of several space target tracking filters", Proc. SPIE 7330, Sensors and Systems for Space Applications III, 73300I (6 May 2009); https://doi.org/10.1117/12.819470

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