Estimation of ERP with Combined Observations of GNSS and SLR
Wei Erh
Abstract
Wei Erh
Abstract
By selecting different number of IGS tracking stations,ERP parameters are estimated from GPS observations and the combined observations of GPS and GLONASS,respectively.The influences incurred by increasing the number of stations and adding GLONASS observations to the estimated ERP parameters are analyzed by comparing results to IGS published values.Thirdly,the ERP parameters are estimated with SLR data from GLONASS satellites.Finally,ERP parameters are estimated with joined results from SLR and GNSS.This research shows that not only that the systematic errors of ERP or High-frequency ERP estimated from GNSS observations are ameliorated,but also the stability of estimated ERP is improved greatly when using the joined results from SLR and GNSS.
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By selecting different number of IGS tracking stations,ERP parameters are estimated from GPS observations and the combined observations of GPS and GLONASS,respectively.The influences incurred by increasing the number of stations and adding GLONASS observations to the estimated ERP parameters are analyzed by comparing results to IGS published values.Thirdly,the ERP parameters are estimated with SLR data from GLONASS satellites.Finally,ERP parameters are estimated with joined results from SLR and GNSS.This research shows that not only that the systematic errors of ERP or High-frequency ERP estimated from GNSS observations are ameliorated,but also the stability of estimated ERP is improved greatly when using the joined results from SLR and GNSS.
Key concepts: GLONASS, GNSS applications, Global Positioning System, Geodesy, Computer science, Galileo (satellite navigation), Remote sensing, Geology