Research And Development Of Muti-system GNSS Compatible Receiver Positioning Algorithm

GNSS (Global Navigation Satellite System) is one of the hot issues which aredeveloped very fast and are focused on widely in the field of information. With thedevelopment of navigation systems, the muti-system compatible application becomesone of the trends of the satellite navigation development direction. The positionaccuracy, integrity and reliability of the receiver are improved effectively, because thenumber of visible satellite increases in the application of the muti-system compatiblepositioning. This paper focus on research of the key technology of the muti-systemcompatible positioning. The main consequences are summarized below:1. The fundamentals of the GNSS receiver positioning are discussed, mainlyinclude the integrate of the time and coordinate of different system, the calculation ofthe different system satellite position and the theory of muti-system compatiblepositioning.2. In the algorithm of muti-system satellite selection, the traditional algorithm isresearched firstly. A fast satellite selection algorithm is proposed for the character ofmuti-system, and a weighted satellite selection algorithm is proposed according to thedifferent accuracy in different system. The performance of these satellite selectionalgorithms are analysised through the real data from a muti-system receiver.3. In the algorithm of muti-system RAIM (Reeeiver Autonomous IntegrityMonitoring). Single fault in muti-system RAIM is discussed, traditional LSR (LeastSquare Residual) and parity space method are discussed. A weighted algorithm isproposed according to the character of different system to improve the ability of thedetection of small fault. Muti-faults in muti-system RAIM is researched based on thefoundation of the single fault RAIM. The performance of different RAIM algorithmsare analysised through the real data from a muti-system receiver.4. In the algorithm of muti-system kalman filter. The theory of kalman filter isdiscussed. A filtering model for muti-system positioning is proposed and a adaptedalgorithm for real kinematic positioning is analysed. The performance of the results ofleast squares and kalman are analysised through both static and kinematicmuti-system data.