@inproceedings{e7e184b2caeb461cb68fcc2b34530e71,
title = "Global Point-to-Point Ionospheric Ray Tracing Using the Direct Variational Method",
abstract = "Global optimization of phase distance functional is a promising approach to the multipath problem of the point-to-point ionospheric ray tracing. The approach is involves systematic algorithm where all relevant rays between the fixed points are found one after another in a systematic manner, without the need to provide an accurate initial estimation for each solution. In particular for each 10-cal ray searching the direct variational method is applied. The global optimization is applied to a point-to-point ionospheric ray tracing, where the modeled ionosphere is three-dimensional inhomogeneous medium.",
author = "Nosikov, \{Igor A.\} and Klimenko, \{Maksim V.\} and Kotova, \{Daria S.\} and Bessarab, \{Pavel F.\}",
note = "Funding Information: Ray tracing simulation was performed (I. A. Nosikov, D. S. Kotova) with the financial support of the Grant of the President of Russian Federation for young scientists (MK-2584.2019.5). Development of the variational approach (P.F. Bessarab) was supported by the Icelandic Research Fund (Grant No. 184949-052), the Russian Science Foundation (Grant No. 19-72-10138) and the Alexander von Humboldt Foundation. Publisher Copyright: {\textcopyright} 2020 URSI.; 33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020 ; Conference date: 29-08-2020 Through 05-09-2020",
year = "2020",
month = aug,
doi = "10.23919/URSIGASS49373.2020.9232035",
language = "English",
series = "2020 33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020",
address = "United States",
}