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Sensors 2017, 17(4), 769; doi:10.3390/s17040769

Performance Evaluation and Analysis for Gravity Matching Aided Navigation

1
State Key Laboratory of Geodesy and Earth’s Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Academic Editors: Wei Song, Antonio Liotta and Ge Chen
Received: 23 January 2017 / Revised: 21 March 2017 / Accepted: 30 March 2017 / Published: 5 April 2017
(This article belongs to the Special Issue Marine Sensing)
View Full-Text   |   Download PDF [2560 KB, uploaded 5 April 2017]   |  

Abstract

Simulation tests were accomplished in this paper to evaluate the performance of gravity matching aided navigation (GMAN). Four essential factors were focused in this study to quantitatively evaluate the performance: gravity database (DB) resolution, fitting degree of gravity measurements, number of samples in matching, and gravity changes in the matching area. Marine gravity anomaly DB derived from satellite altimetry was employed. Actual dynamic gravimetry accuracy and operating conditions were referenced to design the simulation parameters. The results verified that the improvement of DB resolution, gravimetry accuracy, number of measurement samples, or gravity changes in the matching area generally led to higher positioning accuracies, while the effects of them were different and interrelated. Moreover, three typical positioning accuracy targets of GMAN were proposed, and the conditions to achieve these targets were concluded based on the analysis of several different system requirements. Finally, various approaches were provided to improve the positioning accuracy of GMAN. View Full-Text
Keywords: gravity aided navigation; underwater navigation; gravity matching; performance evaluation; requirements analysis gravity aided navigation; underwater navigation; gravity matching; performance evaluation; requirements analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wu, L.; Wang, H.; Chai, H.; Zhang, L.; Hsu, H.; Wang, Y. Performance Evaluation and Analysis for Gravity Matching Aided Navigation. Sensors 2017, 17, 769.

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