Carrier-Phase-Based Quality Control for GNSS Dynamic Relative Navigation
Publication: Journal of Aerospace Engineering
Volume 30, Issue 6
Abstract
Carrier-phase-based global navigation satellite system (GNSS) dynamic relative navigation is essential for fields that require high integrity and accuracy. Code-based receiver autonomous integrity monitoring (RAIM) has been studied extensively; however, carrier-phase-based integrity monitoring requires further study to meet the requirements of high-performance navigation. This paper proposes a quality-control method for carrier-phase-based GNSS relative navigation. It proposes the double difference (DD) model of carrier-phase-based relative navigation, which includes high-integrity difference navigation architecture and a novel closed-loop extended Kalman filter (EKF) using partial ambiguity resolution. Quality-control procedures based on least-squares principle are extended to EKF, in which fault detection using carrier-phase-based RAIM (CRAIM) and fault identification using a double -test are carried out, and the integrity performance of reliability and separability are studied. The field trial data are tested and analyzed, and it is shown that the proposed method is able to detect and identify both step and ramp failures. The proposed method can be used not only for code measurements but also for carrier-phase measurements, thus improving the performance of GNSS relative navigation significantly.
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Acknowledgments
Research for this paper was supported by the Aviation Science Foundation of China (20150852013), the Natural Science Foundation of Jiangsu province (BK20161490,) and the Fundamental Research Project for NUAA (NS2015087). The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.
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Published In
Journal of Aerospace Engineering
Volume 30 • Issue 6 • November 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Nov 5, 2016
Accepted: Apr 17, 2017
Published online: Jul 28, 2017
Published in print: Nov 1, 2017
Discussion open until: Dec 28, 2017
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