The Application and Analysis of Nonlinear Filtering Used in GPS Dynamic Positioning

Xiang-Lei WANG, Shuo DING

Abstract


For several kinds of nonlinear filtering method is commonly used in GPS dynamic positioning (EKF, UKF, CKF, PF) has carried on the detailed research, this paper analyzed the characteristics of different nonlinear filtering algorithm, and the assessment criteria of filtering performance is analyzed, finally the GPS dynamic positioning of the linearization of the model error and noise types on the result of calculation has carried on the detailed discussion. Different nonlinear filtering algorithm is analyzed by an example in the application of GPS dynamic positioning, by comparing the result shows that the CKF and UKF integrated performance is excellent.

Keywords


Nonlinear Filtering, GPS, Dynamic Positioning, EKF, UKF


DOI
10.12783/dtcse/aice-ncs2016/5641

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