Results 161 to 170 of about 187,706 (222)
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IEEE Transactions on Geoscience and Remote Sensing, 2020
The spaceborne low-frequency (L-band and below) synthetic aperture radar (SAR) is very susceptible to ionospheric scintillation. The scintillation phase error (SPE) is a vital factor that brings about the azimuth decorrelation and leads to the imaging ...
Yifei Ji +5 more
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The spaceborne low-frequency (L-band and below) synthetic aperture radar (SAR) is very susceptible to ionospheric scintillation. The scintillation phase error (SPE) is a vital factor that brings about the azimuth decorrelation and leads to the imaging ...
Yifei Ji +5 more
semanticscholar +1 more source
Scintillation Effects in the Ionosphere
2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring), 2019Statistical characteristics of scattered ordinary and extraordinary electromagnetic waves in the turbulent collision magnetized plasma caused by electron density fluctuations are calculated using modify smooth perturbation method taking into account both diffraction effects and polarization coefficients. Scintillation level is analyzed analytically and
George Jandieri +4 more
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Ionospheric Scintillations of Satellite Signals
Proceedings of the IRE, 1960The scintillation of satellite-emitted radio signals has been observed using two different techniques, namely, Doppler-shift frequency measurements and radio direction finding. In this shortened version of our complete paper, there are given the results obtained using Doppler-shift measurements only.
H. P. Hutchinson, P. R. Arendt
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, 2020
In this paper, we propose a machine-learning-based approach to automatically detect a satellite oscillator anomaly. A major challenge is to differentiate an oscillator anomaly from ionospheric scintillation.
Y. Liu, Y. Morton
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In this paper, we propose a machine-learning-based approach to automatically detect a satellite oscillator anomaly. A major challenge is to differentiate an oscillator anomaly from ionospheric scintillation.
Y. Liu, Y. Morton
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Ionospheric scintillation observations from SHAR
Journal of Atmospheric and Terrestrial Physics, 1992Abstract VHF intensity scintillations associated with equatorial spread-F were recorded at SHAR (dip 13°N), India, using the 136.1 MHz beacon from the geostationary satellite ETS-2. The observations were made during the periods 12 March–26 April 1986 and later from 15 September to 5 October 1988.
H. Chandra +4 more
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Generation of ionospheric scintillation maps over Southern China based on Kriging method
Advances in Space Research, 2020Trans-ionospheric communication of radio waves can be affected by ionospheric scintillation which can lead to a complete loss of lock. Scintillation is more prevalent in the ionospheric equatorial anomaly region, and at high latitudes, which is one of ...
W. Geng +6 more
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Ionospheric scintillation observations at Natal
Journal of Geophysical Research: Space Physics, 1981We report ionospheric scintillation observations made at Natal, Brazil, during a period of 2½ years. The nighttime scintillations of satellite signals at 250 MHz commonly exceeded 20 dB peak‐to‐peak. Seasonally, it showed a typical behavior for the South American sector with a single peak centered around October–November months and the local evening ...
K. C. Yeh +4 more
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Superposition Property of the Ionospheric Scintillation S4 Index
IEEE Geoscience and Remote Sensing Letters, 2020S4 index is the rapid modification of signals when propagating through small-scale structures in the ionosphere, called ionospheric irregularities. The rapid modification of the signal causes the scintillation of the power.
W. Yeh +5 more
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Ionospheric scintillations at lunping
Journal of the Chinese Institute of Engineers, 1978Abstract The ionospheric scintillation data obtained at Limping Observatory from January to June, 1976, were used to study the scintillation activity at the crest zone of the so‐called equatorial anomaly of foF2. Unusually large scintillation activity was found. Seasonally, the activity was largest in summer and smallest in winter.
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International Conference on Wireless for Space and Extreme Environments, 2020
This paper presents a machine learning model able to distinguish between ionospheric scintillation and multipath in GNSS-based scintillation monitoring data.
Rayan Imam, F. Dovis
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This paper presents a machine learning model able to distinguish between ionospheric scintillation and multipath in GNSS-based scintillation monitoring data.
Rayan Imam, F. Dovis
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