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Comparison of Factorization-Based Filtering for Landing NavigationThis 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.
Document ID
20160014025
Acquisition Source
Johnson Space Center
Document Type
Conference Paper
Authors
McCabe, James S.
(Missouri Univ. of Science and Technology Rolla, MO, United States)
Brown, Aaron J.
(NASA Johnson Space Center Houston, TX, United States)
DeMars, Kyle J.
(Missouri Univ. of Science and Technology Rolla, MO, United States)
Carson, John M., III
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
December 1, 2016
Publication Date
January 9, 2017
Subject Category
Space Communications, Spacecraft Communications, Command And Tracking
Report/Patent Number
JSC-CN-38145
Meeting Information
Meeting: SciTech Forum 2017
Location: Grapevine, TX
Country: United States
Start Date: January 9, 2017
End Date: January 13, 2017
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: NNX16AF11A
PROJECT: AES Lander Tech. Project
Distribution Limits
Public
Copyright
Public Use Permitted.
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