2009 IEEE International Conference on
Systems, Man, and Cybernetics |
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- [P47]
Single-Frequency GPS Receivers Ionospheric Time-Delay Approximation using Radial Basis Function Neural Network
Author(s): Mohammad Reza Mosavi, Hamid AmirMoiniAbstract
Ionospheric errors are the most influential source of the GPS positioning errors. In an attempt to at least partially improve the GPS positioning process, a global ionospheric correction model is introduced within the standard GPS positioning service. Referred to as the Klobuchar model after its inventor, this model appeared as a compromise between computation complexity and correction accuracy. Neural Networks (NNs) are ideal tool for the approximation of single-frequency GPS receivers ionospheric time-delay behaviour, which has nature highly non-linear. A major advantage of using NNs for the approximation of single-frequency GPS receivers ionospheric time-delay behaviour over analytical methods is that no previous knowledge of the nature of the non-linear relationships is required. This paper presents the use of NN modeling to approximate single-frequency GPS receivers ionospheric time-delay to reduce GPS signal propagation error. The ionospheric time-delay is approximated utilizing the Radial Basis Function (RBF) NN approach. The NN-based approach reduces the computational burden respect to Klobuchar model. The method employed here is applicable on the L1 GPS receivers.