RMIT University
Browse

Regional Ionospheric Corrections for High Accuracy GNSS Positioning

journal contribution
posted on 2024-11-02, 20:22 authored by Ngoc Hanh Tam DaoNgoc Hanh Tam Dao, Ken Harima, Brett CarterBrett Carter, Julie BoardmanJulie Boardman, McClusky Simon, Rupert Brown, Eldar Rubinov, Suelynn ChoySuelynn Choy
Centimetre-level accurate ionospheric corrections are required for a high accuracy and rapid convergence of Precise Point Positioning (PPP) GNSS positioning solutions. This research aims to evaluate the accuracy of a local/regional ionospheric delay model using a linear interpolation method across Australia. The accuracy of the ionospheric corrections is assessed as a function of both different latitudinal regions and the number and spatial density of GNSS Continuously Operating Reference Stations (CORSs). Our research shows that, for a local region of 5° latitude ×10° longitude in mid-latitude regions of Australia (~30° to 40° S) with approximately 15 CORS stations, ionospheric corrections with an accuracy of 5 cm can be obtained. In Victoria and New South Wales, where dense CORS networks exist (nominal spacing of ~100 km), the average ionospheric corrections accuracy can reach 2 cm. For sparse networks (nominal spacing of >200 km) at lower latitudes, the average accuracy of the ionospheric corrections is within the range of 8 to 15 cm; significant variations in the ionospheric errors of some specific satellite observations during certain periods were also found. In some regions such as Central Australia, where there are a limited number of CORSs, this model was impossible to use. On average, centimetre-level accurate ionospheric corrections can be achieved if there are sufficiently dense (i.e., nominal spacing of approximately 200 km) GNSS CORS networks in the region of interest. Based on the current availability of GNSS stations across Australia, we propose a set of 15 regions of different ionospheric delay accuracies with extents of 5° latitude ×10° longitude covering continental Australia.

History

Related Materials

  1. 1.
    DOI - Is published in 10.3390/rs14102463
  2. 2.
    ISSN - Is published in 20724292

Journal

Remote Sensing

Volume

14

Number

2463

Issue

10

Start page

1

End page

18

Total pages

18

Publisher

MDPI AG

Place published

Switzerland

Language

English

Copyright

Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Former Identifier

2006116807

Esploro creation date

2022-10-15