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Article

Improved Method for GLONASS Long Baseline Ambiguity Resolution without Inter-Frequency Code Bias Calibration

1
Institute of Urban Smart Transportation and Safety Maintenance, College of Civil Engineering, Shenzhen University, Shenzhen 518060, China
2
Shenzhen Key Laboratory of Spatial Smart Sensing and Services, College of Civil Engineering, Shenzhen University, Shenzhen 518060, China
3
GNSS Research Center, Wuhan University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Received: 31 May 2018 / Revised: 24 July 2018 / Accepted: 26 July 2018 / Published: 3 August 2018
(This article belongs to the Special Issue Environmental Research with Global Navigation Satellite System (GNSS))
Use of a frequency-division multiple access strategy causes Globalnaya Navigatsionnaya Sputnikovaya Sistema (GLONASS) receiving equipment to experience both inter-frequency phase bias (IFPB) and inter-frequency code bias (IFCB). While IFPB can be calibrated using a linear model, there is no general model for IFCB calibration, which causes great difficulty in GLONASS ambiguity resolution over long baselines; most current GLONASS ambiguity resolution research is confined to short baselines. In this paper, based on a single-differencing between-receivers (SDBR) model, a wide-lane phase combination-based approach is proposed to fix the GLONASS ambiguities over long baselines. External precise ionospheric products are introduced to eliminate the ionospheric delay. To mitigate the effect of the residual ionospheric delays, we fix the relative wide-lane ambiguity using the Hatch–Melbourne–Wubbena (HMW) combination. The results show that 96% and 55% of the wide-lane round-off residuals are within 0.2 cycles for the Global Positioning System (GPS) and GLONASS, respectively, if the traditional HMW method is used. The method proposed here for GLONASS can improve these percentages significantly, reaching up to 95.5%. The root mean square (RMS) position errors are 1.43, 1.06 and 4.32 mm for GPS in the north, east and up directions, respectively. When GLONASS with ambiguity fixing is added, the corresponding RMS values are reduced significantly to 1.26, 1.02 and 3.87 mm, respectively. View Full-Text
Keywords: GLONASS; long baseline; ambiguity resolution; relative positioning; inter-frequency code bias GLONASS; long baseline; ambiguity resolution; relative positioning; inter-frequency code bias
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MDPI and ACS Style

Zhu, J.; Liu, Y.; Wang, B.; Ye, S. Improved Method for GLONASS Long Baseline Ambiguity Resolution without Inter-Frequency Code Bias Calibration. Remote Sens. 2018, 10, 1223. https://0-doi-org.brum.beds.ac.uk/10.3390/rs10081223

AMA Style

Zhu J, Liu Y, Wang B, Ye S. Improved Method for GLONASS Long Baseline Ambiguity Resolution without Inter-Frequency Code Bias Calibration. Remote Sensing. 2018; 10(8):1223. https://0-doi-org.brum.beds.ac.uk/10.3390/rs10081223

Chicago/Turabian Style

Zhu, Jiasong, Yanyan Liu, Bing Wang, and Shirong Ye. 2018. "Improved Method for GLONASS Long Baseline Ambiguity Resolution without Inter-Frequency Code Bias Calibration" Remote Sensing 10, no. 8: 1223. https://0-doi-org.brum.beds.ac.uk/10.3390/rs10081223

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