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Tightly combined GPS + GLONASS positioning with consideration of inter-system code bias and GLONASS inter-frequency code bias

Published online by Cambridge University Press:  27 August 2019

Rui Shang
Affiliation:
(School of Transportation, Southeast University, Nanjing, China)
Chengfa Gao*
Affiliation:
(School of Transportation, Southeast University, Nanjing, China)
Shuguo Pan*
Affiliation:
(School of Instrument Science and Engineering, Southeast University, Nanjing, China)
Xiaolin Meng
Affiliation:
(Nottingham Geospatial Institute, the University of Nottingham, Nottingham, United Kingdom)
Wang Gao
Affiliation:
(School of Instrument Science and Engineering, Southeast University, Nanjing, China)

Abstract

Inter-system code double differencing is an effective method for improving the positioning accuracy of low-cost receivers in complex environments. Due to the adoption of Frequency Division Multiple Access (FDMA), Globalnaya Navigazionnaya Sputnikovaya Sistema (GLONASS) code observations are affected by the Inter-Frequency Code Biases (IFCBs), which makes it difficult to calculate the Differential Inter-System Code Biases (DISCBs) between GLONASS and the Code Division Multiple Access (CDMA) systems directly. In this contribution, the focus is on the performance of tightly combined Global Positioning System (GPS) and GLONASS code Double Difference (DD) positioning. After analysing the relationship between IFCBs and GLONASS channel numbers, an IFCB correction model and an inter-system code differencing model between GLONASS and GPS are proposed. Results show that even if there is no obvious relationship between IFCBs and channel numbers, the long-term stable IFCB values of each satellite can be obtained by using the proposed model. In addition, the GPS + GLONASS DISCB is also stable. Therefore, compared with the intra-system model, the inter-system model can benefit from prior IFCBs and DISCBs parameters and thus can significantly improve the positioning accuracy in obstructed environments.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2019

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