Comparison of Factorization-Based Filtering for Landing Navigation
This paper develops and analyzes methods for fusing inertial navigation data with external data, such as data obtained from an altimeter and a star camera. The particular filtering techniques are based upon factorized forms of the Kalman filter, specifically the UDU and Cholesky factorizations. The factorized Kalman filters are utilized to ensure numerical stability of the navigation solution. Simulations are carried out to compare the performance of the different approaches along a lunar descent trajectory using inertial and external data sources. It is found that the factorized forms improve upon conventional filtering techniques in terms of ensuring numerical stability for the investigated landing navigation scenario.
J. S. McCabe et al., "Comparison of Factorization-Based Filtering for Landing Navigation," Proceedings of the AIAA Guidance, Navigation, and Control Conference (2017, Grapevine, TX), American Institute of Aeronautics and Astronautics (AIAA), Jan 2017.
AIAA Guidance, Navigation, and Control Conference, 2017 (2017: Jan. 9-13, Grapevine, TX)
Mechanical and Aerospace Engineering
Keywords and Phrases
Factorization; Kalman filters; Landing, Cholesky factorizations; Descent trajectories; External data sources; Filtering technique; Inertial navigations; Navigation solution; Star cameras, Navigation
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2017 American Institute of Aeronautics and Astronautics (AIAA), All rights reserved.
01 Jan 2017