Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции
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.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции
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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