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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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.

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Journal Article
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Journal of Atmospheric and Oceanic Technology
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30 Apr 2019 10:40
Last Modified:
18 Sep 2023 01:35