A Map-Aided Navigation Algorithm without Preprocessing of Field Measurements

A new algorithm for geophysical map-aided navigation is proposed. It does not require any preliminary estimation of the field measured along the vehicle trajectory and, as consequence, does not need any stochastic field model. The algorithm uses a whole set of the available geophysical field measure...

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Bibliographic Details
Published inGyroscopy and navigation (Online) Vol. 11; no. 2; pp. 162 - 175
Main Authors Stepanov, O. A., Nosov, A. S.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 01.04.2020
Springer Nature B.V
Subjects
Aerospace Technology and Astronautics
Algorithms
Engineering
Geophysics
Geophysics/Geodesy
Gravity
Navigation
comparative accuracy analysis
Bayesian estimation
map-aided navigation
preprocessing
optimal nonlinear algorithm
geophysical fields
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Summary:A new algorithm for geophysical map-aided navigation is proposed. It does not require any preliminary estimation of the field measured along the vehicle trajectory and, as consequence, does not need any stochastic field model. The algorithm uses a whole set of the available geophysical field measurements. The accuracy analysis procedure applied to estimate the effectiveness of the proposed algorithm is described. The features and advantages of this algorithm are illustrated by an example of marine gravity-aided navigation.
ISSN:2075-1087
2075-1109
DOI:10.1134/S207510872002008X