Author:
Cui Bobin,Li Pan,Wang Jungang,Ge Maorong,Schuh Harald
Abstract
AbstractWide-lane (WL) uncalibrated phase delay (UPD) is usually derived from Melbourne–Wübbena (MW) linear combination and is a prerequisite in Global Navigation Satellite Systems (GNSS) precise point positioning (PPP) ambiguity resolution (AR). MW is a linear combination of pseudorange and phase, and the accuracy is limited by the larger pseudorange noise which is about one hundred times of the carrier phase noise. However, there exist inconsistent pseudorange biases which may have detrimental effect on the WL UPD estimation, and further degrade user-side ambiguity fixing. Currently, only the large part of pseudorange biases, e.g., the differential code bias (DCB), are available and corrected in PPP-AR, while the receiver-type-dependent biases have not yet been considered. Ignoring such kind of bias, which could be up to 20 cm, will cause the ambiguity fixing failure, or even worse, the incorrect ambiguity fixing. In this study, we demonstrate the receiver-type-dependent WL UPD biases and investigate their temporal and spatial stability, and further propose the method to precisely estimate these biases and apply the corrections to improve the user-side PPP-AR. Using a large data set of 1560 GNSS stations during a 30-day period, we demonstrate that the WL UPD deviations among different types of receivers can reach ± 0.3 cycles. It is also shown that such kind of deviations can be calibrated with a precision of about 0.03 cycles for all Global Positioning System (GPS) satellites. On the user side, ignoring the receiver-dependent UPD deviation can cause significant positioning error up to 10 cm. By correcting the deviations, the positioning performance can be improved by up to 50%, and the fixing rate can also be improved by 10%. This study demonstrates that for the precise and reliable PPP-AR, the receiver-dependent UPD deviations cannot be ignored and have to be handled.
Funder
China Scholarship Council
Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum - GFZ
Publisher
Springer Science and Business Media LLC
Subject
Computers in Earth Sciences,Geochemistry and Petrology,Geophysics
Reference40 articles.
1. An X, Meng X, Jiang W (2020) Multi-constellation GNSS precise point positioning with multi-frequency raw observations and dual-frequency observations of ionospheric-free linear combination. Satell Navig. https://doi.org/10.1186/s43020-020-0009-x
2. Aristidis L, Nikos V, Jakob J (2003) The global k-means clustering algorithm. Pattern Recogn 36(2):451–461
3. Blewitt, G. (1998). GPS Data Processing Methodology: From Theory to Applications. In GPS for Geodesy, pp. 231–270, Eds. P.J.G. Teunissen and A. Kleusberg, Springer-Verlag, Berlin, ISBN 3–540–63661–7
4. Collins P (2008) Isolating and estimating undifferenced GPS integer ambiguities. In: Proceedings of ION NTM-2008, Institute of Navigation, San Diego, California, Jan, pp. 720–732
5. Deng Z, Nischan T, Bradke M (2017) Multi-GNSS rapid orbit- clock- & EOP-product series. GFZ Data Services, Potsdam. https://doi.org/10.5880/GFZ.1.1.2017.002
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