Abstract
This paper develops novel covariance and square-root factor formulations of a consider-neglect Kalman filter for navigation applications. The proposed filter partitions system parameters into three distinct categories: those to be estimated by the filter, those whose contribution to the system are considered without being explicitly estimated, and those with sufficiently low effect on the system such that their contribution can be neglected altogether. Discussion on appropriate selection of parameters to be considered and neglected is provided with specific attention given to descent-to-landing navigation. Monte Carlo simulations and analysis are performed to assess the performance of the developed square-root consider-neglect filter in a descent-to-landing navigation scenario.
Recommended Citation
K. J. DeMars and K. C. Ward, "Modular Framework for Implementation and Analysis of Recursive Filters with Considered and Neglected Parameters," Navigation, Journal of the Institute of Navigation, vol. 67, no. 4, pp. 843 - 863, The Institute of Navigation, Dec 2020.
The definitive version is available at https://doi.org/10.1002/navi.388
Department(s)
Mechanical and Aerospace Engineering
Publication Status
Open Access
International Standard Serial Number (ISSN)
0028-1522
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 The Institute of Navigation, All rights reserved.
Publication Date
01 Dec 2020
Comments
National Aeronautics and Space Administration, Grant 80NSSC19M0208