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, 37 (3). pp. 449-465. ISSN 0739-0572

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Abstract

A comprehensive method 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 a priori from physical reasoning. We also show how to allow for non-Gaussian noise and outliers that are typical in global positioning system (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

Additional Information:

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Uncontrolled Keywords:

/dk/atira/pure/subjectarea/asjc/2200/2212

Subjects:

?? ocean engineeringatmospheric science ??

Departments:

Faculty of Science and Technology > Mathematics and Statistics

ID Code:

133266

Deposited By:

ep_importer_pure

Deposited On:

30 Apr 2019 10:40