@inproceedings{e3d7b6ef508f42a19745243181f40381,
title = "Orta Enlem Iyonkuresi icin Yonseme Karakterizasyonu",
abstract = "A locally planar Total Electron Content (TEC) trend model for the midlatitude region encompassing a major part of Turkey and some Balkan countries is investigated by estimating its coefficients for the year 2011. The TEC values are obtained from Global Ionospheric Maps (GIM). The model coefficients are estimated using Least Squares (LS) and Recursive Least Squares (RLS) methods. The estimated model coefficients are used to generate model maps and the difference between these and actual GIM are obtained in squared L2 sense as a performance indicator. The planar trend model provides a successful representation of TEC for the midlatitude region taken into consideration. While the coefficients estimated with LS better represent the high variability of TEC, those estimated with RLS present a good fit for the underlying TEC trend throughout the year.",
keywords = "coefficient estimation, least squares, midlatitude ionosphere, planar trend model, total electron content",
author = "Yildiz, \{Solen Kumbay\} and Feza Arikan and Ieee",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 28th Signal Processing and Communications Applications Conference, SIU 2020 ; Conference date: 05-10-2020 Through 07-10-2020",
year = "2020",
doi = "10.1109/SIU49456.2020.9302237",
language = "T{\"u}rk{\c c}e",
series = "2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings",
address = "!!United States",
}