GPS/GLONASS System Bias Estimation and Application in GPS/GLONASS Combined Positioning
Multi-GNSS data analysis has become a new challenge with the development of satellite navigation systems. System bias is the key issue in Multi-GNSS data analysis, which has no recommended models within IGS community. We introduce the integrated data anal
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GPS/GLONASS System Bias Estimation and Application in GPS/GLONASS Combined Positioning Junping Chen, Pei Xiao, Yize Zhang and Bin Wu
Abstract Multi-GNSS data analysis has become a new challenge with the development of satellite navigation systems. System bias is the key issue in Multi-GNSS data analysis, which has no recommended models within IGS community. We introduce the integrated data analysis model developed at the GNSS data analysis center of Shanghai Astronomical Observatory (SHAO). Based on the routine GNSS data analysis at SHAO over 14 months, we analyze the precise GPS/GLONASS system bias product in detail. Results show: (1) system bias shows similarity for same type of receivers, while obvious difference are observed for different type of receivers; (2) variation of system bias shows same pattern for all stations, which indicates that the long-term variation of system bias is caused by the system time offset; (3) system bias is influenced also by type of antenna type. A model is derived to separate hardware delay difference (HDD) between GPS/GLONASS observations at the same receiver and the so-called interfrequency bias (IFB). Analysis of the HDD and IFB time series shows that both terms are affected by the change of receiver type, antenna type, firmware series, cable type and length. Applying the system bias into PPP positioning, precision of GLONASS-only solution is improved by 55 % and precision of GPS/GLONASS combined solution is improved by 30 %. Keywords GNSS
SHA Analysis center Inter system bias (ISB) IFB
J. Chen (&) P. Xiao Y. Zhang B. Wu Shanghai Astronomical Observatory, Chinese Academy of Science, Shanghai, People’s Republic of China e-mail: [email protected] P. Xiao Y. Zhang College of Surveying and Geo-Informatics, Tongji University, Shanghai, People’s Republic of China
J. Sun et al. (eds.), China Satellite Navigation Conference (CSNC) 2013 Proceedings, Lecture Notes in Electrical Engineering 244, DOI: 10.1007/978-3-642-37404-3_29, Ó Springer-Verlag Berlin Heidelberg 2013
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29.1 Introduction Coordinate and time reference frame are both the key parameters of satellite navigation system. As to time reference frame, GPS is based on GPST, GLONASS is based on GLONASST. As to coordinate reference, GPS adopts WGS-84, GLONASS adopts PZ-90. There are differences in framework accuracy and scale for different navigation systems [1–4]. As navigation system develops and updates, multi-system fusion has become the tendency of the development. In certain environment, such as urban canyon and ravines, single system can’t provide service because of limited satellite conditions. Besides, satellite constellation has periodic regression relative to the Earth, the relative relationship of navigation satellites–Earth–Sun also has regression of different period. The periodic regression of these relative relationships will add relevant periodic errors into parameters such as coordinates and receiver clock offset [5]. So multi-mode observation increases the number of a
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