Table of Contents
International Journal of Navigation and Observation
Volume 2016 (2016), Article ID 3582176, 18 pages
http://dx.doi.org/10.1155/2016/3582176
Research Article

Estimation of Scintillation Indices: A Novel Approach Based on Local Kernel Regression Methods

1Norwegian Mapping Authority, Geodetic Institute, 3511 Hønefoss, Norway
2Department of Mathematical Sciences and Technology, NMBU, 1432 Akershus, Norway
3Department of Electronics and Telecommunications, NTNU, 7491 Trondheim, Norway

Received 25 January 2016; Revised 25 April 2016; Accepted 9 May 2016

Academic Editor: Sandro M. Radicella

Copyright © 2016 Mohammed Ouassou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We present a comparative study of computational methods for estimation of ionospheric scintillation indices. First, we review the conventional approaches based on Fourier transformation and low-pass/high-pass frequency filtration. Next, we introduce a novel method based on nonparametric local regression with bias Corrected Akaike Information Criteria (AICC). All methods are then applied to data from the Norwegian Regional Ionospheric Scintillation Network (NRISN), which is shown to be dominated by phase scintillation and not amplitude scintillation. We find that all methods provide highly correlated results, demonstrating the validity of the new approach to this problem. All methods are shown to be very sensitive to filter characteristics and the averaging interval. Finally, we find that the new method is more robust to discontinuous phase observations than conventional methods.