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Determining the drift velocity of ionospheric irregularities by analyzing three mutually orthogonal projections of the HF radio signal field vector
Institution:1. Institute of Ionosphere, 16 Kyrpychova Str., Kharkiv 61002, Ukraine;2. Institute of Atmospheric Physics of the Czech Academy of Science, Bo?ní II 1401/1A, Prague 14100, Czech Republic;3. State Institution National Antarctic Scientific Center of the Ministry of Education and Science of Ukraine, 16 Taras Shevchenko Blvd., Kyiv 01601, Ukraine;4. Institute of Radio Astronomy of the National Academy of Sciences of Ukraine, 4 Mystetstv Str., Kharkiv 61002, Ukraine;5. University of New Brunswick, 3 Bailey Dr, Fredericton, NB E3B 5A3, Canada;1. Space Research Institute, 40 Acad. Glushkov Ave., Kyiv 03187, Ukraine;2. Plasma Dynamics Group, School of Mathematics and Statistics, The University of Sheffield, Hicks Building, Hounsfield Road, Sheffield S3 7RH, UK;3. Plasma Dynamics Group, Department of Automatic Control and Systems Engineering, The University of Sheffield, Mappin Street, Sheffield S1 3JD, UK
Abstract:This paper presents results of an experimental verification of our earlier suggested spectral-polarization method of measuring the interference pattern velocity by analyzing three mutually orthogonal projections of the radio signal field vector using a single receiving antenna. The measurements were made on an HF radio path about 100 km in length, with a simultaneous monitoring of the ionospheric situation using an oblique-incidence sounding chirp–ionosonde. In an effort to eliminate multipath effects, in the analysis we used nighttime intervals, for which a stable one-mode reflected radio signal was observed. It is shown that the proposed method gives the mean values of the azimuth and zenith angle which differ by no more than 2 to 5° from calculated values. Mean values of the velocity of travelling ionospheric disturbances (of order 50 m/s) and propagation directions (north-westward changing to northward by the morning hours) obtained for these time intervals are consistent with existing published data.
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