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Recent advances in investigation of propagation of GNSS signals through the ionosphere with local random time-dependent inhomogeneities. / Zernov, N.N.; Gherm, V.E.

2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014. 2014.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Harvard

Zernov, NN & Gherm, VE 2014, Recent advances in investigation of propagation of GNSS signals through the ionosphere with local random time-dependent inhomogeneities. in 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014. https://doi.org/10.1109/URSIGASS.2014.6929721

APA

Zernov, N. N., & Gherm, V. E. (2014). Recent advances in investigation of propagation of GNSS signals through the ionosphere with local random time-dependent inhomogeneities. In 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014 https://doi.org/10.1109/URSIGASS.2014.6929721

Vancouver

Zernov NN, Gherm VE. Recent advances in investigation of propagation of GNSS signals through the ionosphere with local random time-dependent inhomogeneities. In 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014. 2014 https://doi.org/10.1109/URSIGASS.2014.6929721

Author

Zernov, N.N. ; Gherm, V.E. / Recent advances in investigation of propagation of GNSS signals through the ionosphere with local random time-dependent inhomogeneities. 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014. 2014.

BibTeX

@inproceedings{54c66dc645c24fadb53a08f28fbbf676,
title = "Recent advances in investigation of propagation of GNSS signals through the ionosphere with local random time-dependent inhomogeneities",
abstract = "{\textcopyright} 2014 IEEE. Analytic theory is developed for solving the set of Markov's momenta parabolic equations for the case of the inhomogeneous ionospheric background layer with the time varying local random inhomogeneities of the electron density in order to describe the GNSS signal propagation in the regime of strong scintillation formed already at the heights of the inhomogenous ionosphere. It is then employed for constructing the software simulator capable of generating the field amplitude and phase random time series at any given height above the Earth's surface and arbitrary geometry of propagation.",
author = "N.N. Zernov and V.E. Gherm",
year = "2014",
doi = "10.1109/URSIGASS.2014.6929721",
language = "English",
isbn = "9781467352253",
booktitle = "2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014",

}

RIS

TY - GEN

T1 - Recent advances in investigation of propagation of GNSS signals through the ionosphere with local random time-dependent inhomogeneities

AU - Zernov, N.N.

AU - Gherm, V.E.

PY - 2014

Y1 - 2014

N2 - © 2014 IEEE. Analytic theory is developed for solving the set of Markov's momenta parabolic equations for the case of the inhomogeneous ionospheric background layer with the time varying local random inhomogeneities of the electron density in order to describe the GNSS signal propagation in the regime of strong scintillation formed already at the heights of the inhomogenous ionosphere. It is then employed for constructing the software simulator capable of generating the field amplitude and phase random time series at any given height above the Earth's surface and arbitrary geometry of propagation.

AB - © 2014 IEEE. Analytic theory is developed for solving the set of Markov's momenta parabolic equations for the case of the inhomogeneous ionospheric background layer with the time varying local random inhomogeneities of the electron density in order to describe the GNSS signal propagation in the regime of strong scintillation formed already at the heights of the inhomogenous ionosphere. It is then employed for constructing the software simulator capable of generating the field amplitude and phase random time series at any given height above the Earth's surface and arbitrary geometry of propagation.

U2 - 10.1109/URSIGASS.2014.6929721

DO - 10.1109/URSIGASS.2014.6929721

M3 - Conference contribution

SN - 9781467352253

BT - 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014

ER -

ID: 7061079