Application Of Extended Set Membership Filter Algorithm In GPS Precise Point Positioning

GPS precise point positioning technology is based on the IGS(International GNSS service organization)to provide external high accuracy of GPS satellite ephemeris,satellite orbit and clock under the premise of application,a kind of GPS data in a single GPS dual frequency receiver of non difference pseudorange and phase observations the implementation process and obtain high precision positioning effect processing according to the IGS technology.At the same time,can obtain information in addition to other location,such as convection zenith delay,receiver clock error,so that the GPS precise point positioning technique in high precision navigation and positioning,atmospheric delay extraction,also has great prospects to maintain the coordinate frame precision timing and other related fields.This thesis realizes the algorithm on GPS precise point positioning technology key,analyses on the related technical problems,some key technical problems,such as the state estimation model,the extended set membership filter GPS positioning accuracy are discussed in detail,finally test using extended set membership filtering algorithm after the actual application effect in GPS the receiver.The main contents include the following aspects:(1)To study and discuss the theoretical basis of GPS precise point positioning,presents the mathematical model of GPS precise point positioning system,including the construction of GPS precise point positioning function model,model parameter estimation and model.On the basis of the Calman filter theory,extended Calman filter theory,from the angle of theory described dynamic state estimation problem of GPS precise point positioning technology.(2)This thesis discusses the various error sources that affect the accuracy of GPS single point positioning and the solution of the related algorithms,including the related to the satellite,the receiver,and the signal transmission of the three categories(3)The extended bounding ellipsoid set membership filtering algorithm,the filtering parameters optimization and selection of update strategy and other aspects is researched,the filter parameters are optimized algorithm,the boundary noise is always in a bounded range,enhances the extended bounding ellipsoid set membership filtering algorithm the ability to adapt to the environment,to provide further support for the algorithm increase of GPS precise point positioning accuracy.(4)The extended set membership filter(ESMF)based on GPS receiver platform overall design algorithm,hardware design,GPS receiver for signal analysis algorithm unit,software design and other units is introduced.According to the statistical characteristics of noise in the carrier signal is unknown but bounded(UBB)characteristics of UBB containing noise in the ellipsoid set.Finally,the high dynamic navigation signal simulator to simulate four axis aircraft position tracking curve and 3D position tracking 2D curve,positioning results basically accurate.In addition by EKF(extended Calman method),CKF(smooth Calman filter),ESMF(extended set membership filter algorithm)by GPS single point positioning measurement shows that the extended bounding ellipsoid set membership filtering algorithm optimized the positioning effect is better than the EKF algorithm,experimental results show that this method is efficient.