Title

Comparison of Factorization-Based Filtering for Landing Navigation

Abstract

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.

Meeting Name

AIAA Guidance, Navigation, and Control Conference, 2017 (2017: Jan. 9-13, Grapevine, TX)

Department(s)

Mechanical and Aerospace Engineering

Comments

This work was partially supported by a NASA Space Technology Research Fellowship and through Grant NNX16AF11A.

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)

978-162410450-3

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 American Institute of Aeronautics and Astronautics (AIAA), All rights reserved.

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