Smoothing and Interpolating Noisy GPS Data with Smoothing Splines

Early, Jeffrey J. and Sykulski, Adam M. (2020) Smoothing and Interpolating Noisy GPS Data with Smoothing Splines. Journal of Atmospheric and Oceanic Technology. ISSN 0739-0572 (In Press)

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Abstract

A comprehensive methodology is provided for smoothing noisy, irregularly sampled data with non-Gaussian noise using smoothing splines. We demonstrate how the spline order and tension parameter can be chosen \emph{a priori} from physical reasoning. We also show how to allow for non-Gaussian noise and outliers which are typical in GPS signals. We demonstrate the effectiveness of our methods on GPS trajectory data obtained from oceanographic floating instruments known as drifters.

Item Type: Journal Article
Journal or Publication Title: Journal of Atmospheric and Oceanic Technology
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Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1900/1902
Subjects:
Departments: Faculty of Science and Technology > Mathematics and Statistics
ID Code: 133266
Deposited By: ep_importer_pure
Deposited On: 30 Apr 2019 10:40
Refereed?: Yes
Published?: In Press
Last Modified: 23 Feb 2020 04:58
URI: https://eprints.lancs.ac.uk/id/eprint/133266

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