A New Algorithm for Cycle Slips On-Line Detection in Reference Station Network
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Abstract
A new method is proposed and developed for the reference station network based applications. In this approach, double-differenced dual-frequency phase measurements and the known coordinates of reference stations as well as the precise ephemeris are used to rebuild observation equation, and then a Kalman filter is designed for the parameters estimation, i.e. ionosphere delay etc. Experimental study shows cycle slip can successfully be detected and reconstructed within a single-epoch or a few epochs through a hypothesis test under the given confidence level. The detecting and repairing are put together in the approach to solve the cycle slip epoch-to-epoch.
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