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

摘要

Because of the differences between reference station andrncustomer in the ionospheric and tropospheric path throughrnwhich satellite signal passes , the influence of the error ofrnsatellite ephemeris, and environmental noise, there are thernresidual errors of actual PRC (pseudorange correction) andrnRRC (range rate correction) in customer, compared withrnthe PRCJ and RRCJ broadcast by reference station . Thernerrors are small when there is short distance betweenrnthem and large when long.rnThis paper studies the predictive processing method of thernKalman filter of the customer based on the PRC and RRCrnin the RBN/DGPS before they are inducted to correct. Arnmathematical model is established. By means of computerrnimitation, the error of PRC in customer can be reduced tornabout 0.1m, and verification is made with the PRCJ ofrnPRN4# satellite sent by reference station. The resultrnshows that the method can effectively improve thernpositioning accuracy of the customer in RBN/DGPS.