Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/100667
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Title: Comparison of Beidou autonomous navigation performance using the SRP model and onboard accelerometers
Authors: Qiao, J 
Xu, G
Liu, W
Fang, P
Chen, W 
Issue Date: Aug-2020
Source: Acta astronautica, Aug. 2020, v. 173, p. 183-194
Abstract: The Autonomous Navigation (AutoNav) mode of a Global Navigation Satellite System (GNSS) utilizes Inter-Satellite Links (ISLs) to maintain satellite operations without the service from the ground control segment. The newly launched Beidou satellites are capable of conducting ISLs for orbit determination to improve their autonomy, integrity, reliability, and robustness. However, the satellite orbit errors can increase over time due to various force model errors, particularly that of Solar Radiation Pressure (SRP). Accelerometers aboard satellites can measure non-conservative forces directly and have been successfully used in satellite missions for gravity recovery and atmosphere study (i.e., GRACE, CHAMP, and GOCE). This study investigates the feasibility to use accelerometers aboard Beidou satellites to improve AutoNav accuracy and service span. The results show that in a simulated 180-day AutoNav period, the orbit accuracy with the aid of accelerometers is two times better than that of using ISL data only.
Keywords: Accelerometer
Autonomous navigation
Beidou navigation satellite system
Solar radiation pressure
Publisher: Pergamon
Journal: Acta astronautica 
ISSN: 0094-5765
DOI: 10.1016/j.actaastro.2020.04.018
Rights: © 2020 IAA. Published by Elsevier Ltd. All rights reserved.
© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
The following publication Qiao, J., Xu, G., Liu, W., Fang, P., & Chen, W. (2020). Comparison of Beidou autonomous navigation performance using the SRP model and onboard accelerometers. Acta Astronautica, 173, 183-194 is available at https://doi.org/10.1016/j.actaastro.2020.04.018.
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