Study on the predictive processing method of the Kalman filter of customer based on the PRC and RRC in the RBN/DGPS

L. Changchuan, W. Guanghua and D. Fang

Abstract:	Because of the differences between reference station and customer in the ionospheric and tropospheric path through which satellite signal passes , the influence of the error of satellite ephemeris, and environmental noise, there are the residual errors of actual PRC (pseudorange correction) and RRC (range rate correction) in customer, compared with the PRCJ and RRCJ broadcast by reference station . The errors are small when there is short distance between them and large when long. This paper studies the predictive processing method of the Kalman filter of the customer based on the PRC and RRC in the RBN/DGPS before they are inducted to correct. A mathematical model is established. By means of computer imitation, the error of PRC in customer can be reduced to about 0.1m, and verification is made with the PRCJ of PRN4# satellite sent by reference station. The result shows that the method can effectively improve the positioning accuracy of the customer in RBN/DGPS.
Published in:	Proceedings of the 13th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2000) September 19 - 22, 2000 Salt Palace Convention Center Salt Lake City, UT
Pages:	1494 - 1498
Cite this article:	Changchuan, L., Guanghua, W., Fang, D., "Study on the predictive processing method of the Kalman filter of customer based on the PRC and RRC in the RBN/DGPS," Proceedings of the 13th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2000), Salt Lake City, UT, September 2000, pp. 1494-1498.
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