Uncertainty Analysis of a Generalized Coning Algorithm for Inertial Navigation
Abstract
This paper investigates uncertainty propagation through a generalized coning algorithm used for inertial navigation systems. Coned measurements have often been considered uncertain variables as the statistics for raw measurements no longer apply to a coning algorithms result. Through the error analysis of a coning algorithm, two methods for mapping errors are introduced and an efficient and consistent propagation of state uncertainty is achieved, establishing that the errors in the algorithms need not be uncertain. Monte Carlo simulations reveal that the algorithms are shown to be consistent with typical methods of attitude dead-reckoning in simulations with and without coning motion.
Recommended Citation
J. D. Brouk and K. J. Demars, "Uncertainty Analysis of a Generalized Coning Algorithm for Inertial Navigation," Advances in the Astronautical Sciences, vol. 171, pp. 439 - 458, Springer, Jan 2020.
Department(s)
Mechanical and Aerospace Engineering
International Standard Book Number (ISBN)
978-087703665-4
International Standard Serial Number (ISSN)
0065-3438
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Springer, All rights reserved.
Publication Date
01 Jan 2020
