Abstract
Precise point positioning (PPP) is one of the well-known applications of Global Navigation Satellite System (GNSS) and provides precise positioning solutions using accurate satellite orbit and clock products. The tropospheric delay due to the neutral atmosphere for microwave signals is one of the main sources of measurement error in PPP. As one component of this delay, the hydrostatic delay is usually compensated by using an empirical correction model. However, how to eliminate the effects of the wet delay during a weather event is a challenge because current troposphere models are not capable of considering the complex atmosphere around the receiver during situations such as typhoons, storms, heavy rainfall, et cetera. Thus, how positioning results can be improved if the residual wet delays are taken into account needs to be investigated . In this contribution, a real-time procedure of recursive detection, identification and adaptation (DIA) is applied to detect the model errors which have the same effects on both phase and code observables; e.g., the model error caused by the tropospheric delay. Once the model errors are identified, additional parameters are added to the functional model to account for the measurement residuals. This approach is evaluated with Global Positioning System (GPS) data during two rainfall events in Darwin, Australia, proving the usefulness of compensated residual slant wet delay for positioning results. Comparisons with the standard approach show that the precision of the up component is improved significantly during the periods of the weather events; for the two case studies, and improvements of root mean squared error (RMS) resulted, and the precision of the horizontal component obtained by the proposed approach is also improved more than compared to the standard approach. The results also show that the identified model errors are concentrated at the beginning of both heavy rainfall processes when the front causes significant spatial and temporal gradients of the integrated water vapor above the receiver.
Highlights
The troposphere is the lowest portion of the Earth’s atmosphere, and tropospheric delay due to the neutral atmosphere is one of the main error sources of the Global Navigation Satellite System
A successful application of an azimuthally inhomogeneous tropospheric delay modeling in Global Positioning System (GPS) geodesy and very long baseline interferometry (VLBI) was proposed by MacMillan [19] and Chen and Herring [20], in which the so-called horizontal gradients are considered in addition to a mapping of the zenith to slant delays
Precise orbit and clock products were applied in the data testing to avoid any other model errors, this troposphere identification model can be implemented in real-time Precise point positioning (PPP), and the DIA procedure can be processed in real-time
Summary
The troposphere is the lowest portion of the Earth’s atmosphere, and tropospheric delay due to the neutral atmosphere is one of the main error sources of the Global Navigation Satellite System. A successful application of an azimuthally inhomogeneous tropospheric delay modeling in GPS geodesy and very long baseline interferometry (VLBI) was proposed by MacMillan [19] and Chen and Herring [20], in which the so-called horizontal gradients are considered in addition to a mapping of the zenith to slant delays. In this way, a linear asymmetry of the troposphere is accounted for by introducing a tilted direction instead of the zenith direction.
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