BDS-2/BDS-3,single point positioning,stochastic model,UERE prior weighting,Helmert variance component estimation," />
BDS-2/BDS-3,single point positioning,stochastic model,UERE prior weighting,Helmert variance component estimation,"/>
An Optimization Method for Single Point Positioning Stochastic Model of Beidou Hybrid System
Abstract There is a difference between the different orbit types and BDS-2/BDS-3 satellites observation values in the Beidou hybrid system, so this paper proposes a method, based on Helmert variance component estimation model of Beidou UERE, to optimize the stochastic model of the Beidou hybrid system. The single point positioning experiments based on the equal weight model, the ordinary Helmert variance component estimation model, and the proposed optimization model are carried out. The calculation results of the three models are compared and analyzed with respect to the positioning accuracy and the positioning success rate. The results show that the proposed optimization model has high positioning accuracy on the E, N and U directions compared with the equal weight model and the ordinary Helmert variance estimation model. It can reduce situations in which the positioning accuracy is low due to the poor spatial geometry of the satellite constellation, and it improves the positioning success rate.
ZHANG Qiankun,LIU Xiaosheng. An Optimization Method for Single Point Positioning Stochastic Model of Beidou Hybrid System[J]. jgg, 2020, 40(7): 756-760.
ZHANG Qiankun,LIU Xiaosheng. An Optimization Method for Single Point Positioning Stochastic Model of Beidou Hybrid System[J]. jgg, 2020, 40(7): 756-760.
