TECHNICAL PAPERS
Jan 15, 2010

Extended Receiver Autonomous Integrity Monitoring (eRAIM) for GNSS/INS Integration

Publication: Journal of Surveying Engineering
Volume 136, Issue 1

Abstract

The integration of globe navigation satellite system (GNSS) with inertial navigation system (INS) is being heavily investigated as it can deliver more robust and reliable systems than either of the individual systems. In order to ensure the integrity of navigation solutions, it is necessary to incorporate an effective quality control scheme which uses redundant information provided by both the measurement and dynamic models. As the GNSS receiver autonomous integrity monitoring (RAIM) algorithms are well developed, here they are adapted to integrated GNSS/INS systems referred as extended RAIM (eRAIM) , which are derived from the least-squares estimators of the state parameters in a Kalman filter, to assess GNSS/INS performance for a tightly coupled scenario. In addition to the RAIM capabilities, eRAIM procedures are able to detect faults in the dynamic model and isolate them from the measurement model. The analysis includes outlier detection and identification capabilities, reliability and separability measures of integrated GNSS/INS systems. The performance of the system is also investigated with respect to diminishing satellite visibility conditions.

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Acknowledgments

This work has been supported by the Australian Research Council Discovery research grant on “Robust positioning based on ultra-integration of GPS, pseudolite and inertial sensors,” and the University of New South Wales Goldstar research grant on GNSS integrity monitoring. The writers thank Dr. Jianguo Jack Wang for the valuable discussions and his assistance in preparing the revised version for this paper.

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Go to Journal of Surveying Engineering
Journal of Surveying Engineering
Volume 136Issue 1February 2010
Pages: 13 - 22

History

Received: Nov 21, 2006
Accepted: Sep 11, 2007
Published online: Jan 15, 2010
Published in print: Feb 2010

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Authors

Affiliations

Steve Hewitson, Ph.D. [email protected]
School of Surveying and Spatial Information Systems, Univ. of New South Wales, Sydney, NSW 2052, Australia. E-mail: [email protected]
Jinling Wang, Ph.D. [email protected]
Associate Professor, School of Surveying and Spatial Information Systems, Univ. of New South Wales, Sydney, NSW 2052, Australia (corresponding author). E-mail: [email protected]

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