A Multi-Epoch Processing Strategy for PPP-RTK Users
Amir Khodabandeh (University of Melbourne)
Peter Teunissen (University of Melbourne, TU Delft - Mathematical Geodesy and Positioning, Curtin University)
D.V. Psychas (European Space Agency (ESA))
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Abstract
The present contribution aims to address why the stochastic model of the PPP-RTK user-filter is misspecified, and how one can limit the precision-loss associated with user parameter solutions. By developing tools for measuring the stated precision-loss under existing formulations of the user’s Kalman filter, we propose an alternative formulation that recursively delivers close-to-minimum-variance filtered solutions when certain conditions hold. Such conditions are discussed, and their impact on the user ambiguity-resolved positioning performance is illustrated by supporting numerical results.
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