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Gravity-model errors in mobile inertial-navigation systems

Authors: B. A. Kriegsman; K. B. Mahar;

Gravity-model errors in mobile inertial-navigation systems

Abstract

A high-accuracy inertial-navigation system (INS) is to be used to navigate a land-mobile Vehicle travelling at about 30 knots, Over time periods of 2-4 h or less. Important sources of navigation error are the errors in modeling the anomalous gravity forces acting on the vehicle. To obtain acceptable performance, the INS must be accurately compensated in real time for the anomalous gravity. A significant reduction in the growth of navigation errors can be obtained by stopping the vehicle periodically and processing zero-velocity updates in an on-board navigation filter. The land-navigation system design considerations that affect the growth of navigation error due to the gravity-model errors are examined here. These include the grid-spacing of the data base used to derive the real-time gravity compensation, the use of odometer and zero-sideslip measurement data for in-transit INS updating, and the frequency and accuracy of the at-rest zero-velocity updates which are the key to high-accuracy land navigation.

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Average
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