A 4D tomographic ionospheric model to support PPP-RTK

Journal article (2019)

Authors

G. Olivares-Pulido CRC for Spatial Information
M. Terkildsen Bureau of Meteorology Australia
K. Arsov Bureau of Meteorology Australia
P.J.G. Teunissen Curtin University, Mathematical Geodesy and Positioning - CEG
Amir Khodabandeh Curtin University, University of Melbourne
V. Janssen NSW DFSI Spatial Services
Research Group
Mathematical Geodesy and Positioning (CEG) (TU Delft)
Copyright: © 2019 G. Olivares-Pulido, M. Terkildsen, K. Arsov, P.J.G. Teunissen, A. Khodabandeh, V. Janssen
DOI: https://doi.org/10.1007/s00190-019-01276-4
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Published Date

2019

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Mathematical Geodesy and Positioning

Abstract

Successful implementation of integer ambiguity resolution enabled precise point positioning (aka PPP-RTK) algorithms is inextricably linked to the ability of a user to perform near real-time positioning by quickly and reliably resolving the integer carrier-phase ambiguities. In the PPP-RTK technique, a major barrier to successful ambiguity resolution is the unmodelled impact of the ionosphere. We present a 4D ionospheric tomographic model that computes in real time the ionospheric electron density as a linear combination of basis functions, namely B-splines. The results show that when the ionospheric estimates are provided as atmospheric corrections for a PPP-RTK end-user, the time to fix its horizontal position below 10 cm is around 20 epochs (the sample rate is 30 s) at the 90 % of the cumulative distribution function (CDF), as opposed to the time it takes when no external corrections are provided, which is around 80 epochs at 90 % of the CDF.

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