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An analysis of a gyro-free inertial system for INS/GNSS navigation

Authors: Davide Antonio Cucci; Omar Garcia Crespillo; Mehran Khaghani;

An analysis of a gyro-free inertial system for INS/GNSS navigation

Abstract

Although the concept of determining angular velocity out of the readings of multiple, displaced accelerometers is not new, apparently it has not yet matured into practical technologies. A new generation of low-cost MEMS accelerometers, which is expected to breakthrough in the next years, may enable gyro-free navigation in small platforms such as UAVs, ground vehicles and small planes. In this work we analyze a Gyro-Free Inertial Navigation System (GF-INS) employing four triads of accelerometers in a Distributed Redundant IMU configuration (DRIMU). We investigate the statistical properties of the angular velocity estimator by means of simulations and we speculate on the noise level requirements for the accelerometers that would allow a gyro-free navigation system to match the performances of a conventional IMU. Furthermore, we investigate the performance of using the gyro-free angular velocities estimator in combination with GNSS for navigation in a classical error-state EKF.

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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!
7
Average
Average
Top 10%
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