UK: Researchers at the Nottingham Geospatial Institute (NGI) have developed a new technique that improves GNSS positioning accuracy under the adverse tracking circumstances that arise during ionospheric disruptions. The technique improves position estimates without using external models to predict the distorting scintillation effects.
The new technique is particularly useful for applications demanding a high degree of accuracy, such as those relying on Precise Point Positioning (PPP) technology — an advanced GNSS positioning method that is currently under development. The technique proposed at the NGI uses information that can be extracted from any GNSS receiver in real time as it ‘senses’ the effects of the ionosphere. This information can then be applied to counter ionospheric disturbances that currently limit the accuracy attainable by the PPP technology.
The new method will be valuable across a range of industries — from dynamic positioning in oil exploration and production to precision agriculture, where the automated localised application of pesticides and fertilisers requires high levels of accuracy to maximise yield and profit while reducing carbon footprint. Fields such as surveying, geodesy, mapping and construction would also benefit.
The technique is currently in the test phase, with promising initial results.
Dr Marcio Aquino, Principal Research Fellow at the Nottingham Geospatial Institute, is leading a number of projects addressing the effects of ionospheric disturbances on GNSS.
“GNSS are now fully embedded in modern society, from in-car navigation to the timing of global financial transactions,” he said. “We rely on them — which is why ensuring the accuracy of these systems used across the planet is a key research strand at the Nottingham Geospatial Institute.”
“Regions at both high and equatorial latitudes are particularly affected by these phenomena, including northern Europe, Latin America, India and parts of China. GNSS multiple frequency range measurements and special algorithms can be used to model the overall effect of the ionosphere. But the state of the ionosphere can be erratic, depending on prevailing solar activity and its influence on the geomagnetic field. This creates additional disturbances that aren’t so easy to model — which is why the new technique being developed at Nottingham is so important to industry.”