选取不同数量的IGS站,分别利用GPS和GPS+GLONASS观测数据计算ERP参数,并将结果和IGS公布值进行比较,分析测站数量增加和加入GLONASS观测数据对解算ERP参数的影响。此外,还利用GLO—NASS卫星的全部卫星激光测距(SLR)数据进行ERP参数解算,并将SLR结果和GNSS解算结果联合计算ERP,结果表明,联合SLR可改善GNSS数据解算ERP参数及高频ERP参数的系统性误差影响和稳定性。
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 param- eters 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 sta- bility of estimated ERP is improved greatly when using the joined results from SLR and GNSS.