Spatio-temporal Characteristics of the Ionospheric TEC Variation for GPSnet-based Real-time Positioning in Victoria

Suqin Wu, Kefei Zhang, Yunbin Yuan, Falin Wu

School of Mathematical and Geospatial Sciences, RMIT University, GPO Box 2476V, Victoria 3001, Australia.
School of Mathematical and Geospatial Sciences, RMIT University, GPO Box 2476V, Victoria 3001, Australia Institute of Geodesy and Geophysics, Chinese Academy of Sciences, 54 XuDong Road, Wuhan 43007, China.

DOI:                 

Abstract

The atmospheric effects, especially the ionosphere, are the key limiting factors for real-time high accuracy positioning using the network RTK technique with a medium-to-long-range baseline separation. To investigate suitable approaches to improve ionospheric modeling towards a real-time CMlevel positioning using the Victorian continuously operating reference stations network (i.e. GPSnet) system under various ionospheric conditions, this paper investigates both temporal and spatial variations of the ionospheric total electrons content (TEC) over Victoria through analysing GPS dual frequency data from the GPSnet over a period of two years. Diurnal and seasonal ionospheric variations, and winter anomaly of the ionosphere in Victoria are investigated based on GPSderived TEC values. Results suggest that the temporal and spatial TEC variations over Victoria are complicated. This complex nature of the ionosphere suggests that it is a challenging task to precisely represent the behaviours of the ionosphere if only a single and simple ionospheric model is used for all the time for RTK uses. It is therefore, necessary to develop new mathematical models or new procedures for precise representation of the ionospheric TEC variations in Victoria using a long period of GPS dual frequency observations, particularly the predictability of the ionosphere changes. It is expected that the new approach will provide a better guidance for the state-wide network-RTK solutions.

Keywords

Atmospheric modeling, Ionospheric delay, Ionospheric modeling, TEC, Network RTK

Conflicts of Interest

The authors declare no conflicts of interest.

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