Abstract:In order to improve the accuracy of IGS ultra-rapid predicted products(IGU-P), in response to the data characteristic of ultra-rapid ephemeris composed of both determined and random items, a new prediction algorithm is proposed. This proposed algorithm is based on a polynomial model, which models random items with adding-weight one-rank local-region method of chaos. The results from the calculating examples show that the accuracy of adding-weight one-rank local-region method of chaos is superior to that of the IGU-P.
HE Chengwen,CAI Chenglin. Prediction of IGS Ultra-Rapid Ephemeris Clock Error Based on Adding-Weight One-Rank Local-Region Method of Chaos[J]. jgg, 2016, 36(7): 577-580.