Precise point positioning with un-differenced observations requires the precise knowledge of satellite biases. In this thesis, new algorithms for the estimation of satellite code and phase biases with a network of reference receivers are proposed. The geometric and ionospheric parameters are estimated separately by cascaded Kalman filters. Moreover, the Kriging method, widely used in geostatistics, is introduced to model the ionosphere. An iterative Greedy algorithm is newly proposed for the joint estimation for the ionospheric delays and ionospheric biases. All proposed algorithms are validated with real GPS satellite navigation data.
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Precise point positioning with un-differenced observations requires the precise knowledge of satellite biases. In this thesis, new algorithms for the estimation of satellite code and phase biases with a network of reference receivers are proposed. The geometric and ionospheric parameters are estimated separately by cascaded Kalman filters. Moreover, the Kriging method, widely used in geostatistics, is introduced to model the ionosphere. An iterative Greedy algorithm is newly proposed for the joi...
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