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Smoothing and Interpolating Noisy GPS Data with Smoothing Splines

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Smoothing and Interpolating Noisy GPS Data with Smoothing Splines. / Early, Jeffrey J.; Sykulski, Adam M.
In: Journal of Atmospheric and Oceanic Technology, Vol. 37, No. 3, 31.03.2020, p. 449-465.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Early, JJ & Sykulski, AM 2020, 'Smoothing and Interpolating Noisy GPS Data with Smoothing Splines', Journal of Atmospheric and Oceanic Technology, vol. 37, no. 3, pp. 449-465. https://doi.org/10.1175/JTECH-D-19-0087.1

APA

Early, J. J., & Sykulski, A. M. (2020). Smoothing and Interpolating Noisy GPS Data with Smoothing Splines. Journal of Atmospheric and Oceanic Technology, 37(3), 449-465. https://doi.org/10.1175/JTECH-D-19-0087.1

Vancouver

Early JJ, Sykulski AM. Smoothing and Interpolating Noisy GPS Data with Smoothing Splines. Journal of Atmospheric and Oceanic Technology. 2020 Mar 31;37(3):449-465. Epub 2020 Mar 16. doi: 10.1175/JTECH-D-19-0087.1

Author

Early, Jeffrey J. ; Sykulski, Adam M. / Smoothing and Interpolating Noisy GPS Data with Smoothing Splines. In: Journal of Atmospheric and Oceanic Technology. 2020 ; Vol. 37, No. 3. pp. 449-465.

Bibtex

@article{a0f80ee095084c199973e55cfd430e24,
title = "Smoothing and Interpolating Noisy GPS Data with Smoothing Splines",
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.",
author = "Early, {Jeffrey J.} and Sykulski, {Adam M.}",
note = "{\textcopyright} Copyright 2020 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108) does not require the AMS{\textquoteright}s permission. Republication, systematic reproduction, posting in electronic form, such as on a website or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. All AMS journals and monograph publications are registered with the Copyright Clearance Center (http://www.copyright.com). Questions about permission to use materials for which AMS holds the copyright can also be directed to permissions@ametsoc.org. Additional details are provided in the AMS Copyright Policy statement, available on the AMS website (http://www.ametsoc.org/CopyrightInformation).",
year = "2020",
month = mar,
day = "31",
doi = "10.1175/JTECH-D-19-0087.1",
language = "English",
volume = "37",
pages = "449--465",
journal = "Journal of Atmospheric and Oceanic Technology",
issn = "0739-0572",
publisher = "American Meteorological Society",
number = "3",

}

RIS

TY - JOUR

T1 - Smoothing and Interpolating Noisy GPS Data with Smoothing Splines

AU - Early, Jeffrey J.

AU - Sykulski, Adam M.

N1 - © Copyright 2020 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a website or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. All AMS journals and monograph publications are registered with the Copyright Clearance Center (http://www.copyright.com). Questions about permission to use materials for which AMS holds the copyright can also be directed to permissions@ametsoc.org. Additional details are provided in the AMS Copyright Policy statement, available on the AMS website (http://www.ametsoc.org/CopyrightInformation).

PY - 2020/3/31

Y1 - 2020/3/31

N2 - 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.

AB - 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.

U2 - 10.1175/JTECH-D-19-0087.1

DO - 10.1175/JTECH-D-19-0087.1

M3 - Journal article

VL - 37

SP - 449

EP - 465

JO - Journal of Atmospheric and Oceanic Technology

JF - Journal of Atmospheric and Oceanic Technology

SN - 0739-0572

IS - 3

ER -