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Under assumption that the surrounding environment remains unchanged, multipath contamination of GPS measurements can be formulated as a function of the sidereal repeatable geometry of the satellite with respect to the fixed receiver. Hence, multipath error estimation amounts to a regression problem. We present a method for estimating code multipath error of(More)
Motivated by the idea of imposing machine learning approaches to improve fidelity of Global Positioning System (GPS) measurements, this work proposes a nonlinear regression method to tackle multipath mitigation problem for GPS fixed ground stations. Posing multipath error corresponding to each visible satellite as a function of the satellite's repeatable(More)
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