Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Multifractal Phase Screen Model for Scintillation of Transionospheric Signals. / Makarenkova, E. V.; Gherm, V. E.
2018 2nd URSI Atlantic Radio Science Meeting, AT-RASC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8471300.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Multifractal Phase Screen Model for Scintillation of Transionospheric Signals
AU - Makarenkova, E. V.
AU - Gherm, V. E.
PY - 2018/9/24
Y1 - 2018/9/24
N2 - This work deals with the problem of electromagnetic field propagation in the turbulent ionosphere with intermittency effects taken into account. The intermittency is involved through introducing the multifractal stochastic distribution of irregularities that implies the non-Gaussian statistics of the electron density fluctuations. The propagation problem is simulated utilizing the random screen technique. The algorithm of generation of the spatial distribution of the stochastic phase on the screen employs the two-dimensional inverse discrete wavelet transform. The wavelet coefficients are generated utilizing the stochastic lognormal cascade on the dyadic tree. The statistical characteristics of the field fluctuations after passing the phase screen are studied, and the peculiarities of the field statistics due to the non-Gaussianity of the screen are demonstrated and discussed.
AB - This work deals with the problem of electromagnetic field propagation in the turbulent ionosphere with intermittency effects taken into account. The intermittency is involved through introducing the multifractal stochastic distribution of irregularities that implies the non-Gaussian statistics of the electron density fluctuations. The propagation problem is simulated utilizing the random screen technique. The algorithm of generation of the spatial distribution of the stochastic phase on the screen employs the two-dimensional inverse discrete wavelet transform. The wavelet coefficients are generated utilizing the stochastic lognormal cascade on the dyadic tree. The statistical characteristics of the field fluctuations after passing the phase screen are studied, and the peculiarities of the field statistics due to the non-Gaussianity of the screen are demonstrated and discussed.
UR - http://www.scopus.com/inward/record.url?scp=85055778571&partnerID=8YFLogxK
U2 - 10.23919/URSI-AT-RASC.2018.8471300
DO - 10.23919/URSI-AT-RASC.2018.8471300
M3 - Conference contribution
AN - SCOPUS:85055778571
BT - 2018 2nd URSI Atlantic Radio Science Meeting, AT-RASC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd URSI Atlantic Radio Science Meeting, AT-RASC 2018
Y2 - 28 May 2018 through 1 June 2018
ER -
ID: 35532789