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• W2560579969 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." @default.
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• W2560579969 date "2017-01-05" @default.
• W2560579969 modified "2023-10-03" @default.
• W2560579969 title "Comparison of Factorization-based Filtering for Landing Navigation" @default.
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• W2560579969 doi "https://doi.org/10.2514/6.2017-1498" @default.
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