Troposphere Delay Remote Sensing Using Single GPS Receiver

The most prominent spatially correlated errors in GNSS observations are well known to be atmospheric effects. ionosphere and troposphere the two main layers of Atmosphere that cause delays observations. A linear combination dual-frequency data can used reduce ionospheric delay. Unlike delay, tropospheric delay cannot eliminated using same methods. is primarily associated with GPS. it causes GPS signals regarded as one primary sources must determine accurate positions. This paper's purpose develop a new source code estimate effect over any station. this proposed estimated utilizing sequential least-squares adjustment model depending on Niell Mapping Function (NMF). model, Tropospheric Delay Estimation program, was created MATLAB® environment (TDE). research presents results during DOY 2, 2020 actual from ten ground-based IGS stations distributed Antarctica, China, Canada, Fiji, Russia, Greenland, Portugal worldwide. For validation results, they were compared International Service (IGS). Good agreement high correlation found between both results. In comparison IGS, code's standard deviations range 0.0000525 m 0.008154 m, indicating how study terms solutions provided by IGS. Finally, MATLAB software accurately an adaptable temporal resolution for users.