Abstract
With the development of global satellite navigation systems, kinematic Precise Point Positioning (PPP) is facing the increasing computational load of instantaneous (single-epoch) processing due to more and more visible satellites. At this time, the satellite selection algorithm that can effectively reduce the computational complexity causes us to consider its application in GPS/BDS/GLONASS kinematic PPP. Considering the characteristics of different systems and satellite selection algorithms, we proposed a new satellite selection approach (NSS model) which includes three different satellite selection algorithms (maximum volume algorithm, fast-rotating partition satellite selection algorithm, and elevation partition satellite selection algorithm). Additionally, the inheritance of ambiguity was also proposed to solve the situation of constantly re-estimated integer ambiguity when the satellite selection algorithm is used in PPP. The results show that the NSS model had a centimeter-level positioning accuracy when the original PPP and optimal dilution of precision (DOP) algorithm solution were compared in kinematic PPP based on the data at five multi-GNSS Experiment (MGEX) stations. It can also reduce a huge amount of computation at the same time. Thus, the application of the NSS model is an effective method to reduce the computational complexity and guarantee the final positioning accuracy in GPS/BDS/GLONASS kinematic PPP.
Highlights
Precise Point Positioning (PPP) is one of the recent techniques to make positioning efficient and cost effective by reducing labor and equipment costs for surveying [1]
We proposed a new satellite selection approach (NSS model) to reduce the excessive redundant information in GPS/BDS/GLONASS kinematic PPP with undifferenced and uncombined observations
The data from five multi-global navigation satellite system (GNSS) Experiment (MGEX) stations on day of year (DOY) 239 in 2017 and the measured data were used to verify the model presented in this study [24]
Summary
Precise Point Positioning (PPP) is one of the recent techniques to make positioning efficient and cost effective by reducing labor and equipment costs for surveying [1]. In consideration of the accuracy and characteristic in the three systems, the NSS model that applies three different algorithms for GPS, BDS, and GLONASS is proposed It can meet the performance of kinematic positioning and reduce the amount of computation when the NSS model is used in undifferenced and uncombined kinematic PPP. The data from five multi-GNSS Experiment (MGEX) stations on day of year (DOY) 239 in 2017 and the measured data were used to verify the model presented in this study [24] Through this satellite selection model, the computational load of the GNSS equipment was able to be effectively reduced and the positioning accuracy and reliability of kinematic PPP were maintained at the same time, which provides some reference for the application of satellite selection algorithms in kinematic PPP
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
