"Uncertainty Analysis of a Generalized Coning Algorithm for Inertial Na" by James D. Brouk and Kyle J. Demars
 

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.

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

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