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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 01, 2020
- Source ID
- 10.1175/jtech-d-19-0087.1
Entities
People
- Adam M. Sykulski
- Jeffrey J. Early
Organizations
- Engineering and Physical Sciences Research Council
- National Science Foundation
- Northwest Research Associates
- Office of Naval Research
- University of Lancaster