meteor radio
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Author(s):  
S. S. Varghese ◽  
J. Dowell ◽  
K. S. Obenberger ◽  
G. B. Taylor ◽  
J. Malins

2021 ◽  
Vol 27 (3) ◽  
pp. 85-92
Author(s):  
F.I. Bushuev ◽  
◽  
M.P. Kaliuzhnyi ◽  
N.A. Kulichenko ◽  
A.V. Shulga ◽  
...  

During the decade of research, the Research Institute “Mykolaiv Astronomical Observatory” (RI “MAO”) developed hardware and software for monitoring, extracting, and calculating the parameters of meteor phenomena using the forward scattering by meteor ionized trail of the signals of over-the-horizon FM-stations broadcasted in the frequency range of 88—108 MHz. This allowed creating a network of observations of meteor phenomena in the radio range, which consists of six stations located in Mykolaiv (three stations), Rivne, Lviv, and Hlukhiv. The stations have identical hardware and software. Yagi-Uda antennas with six or eight horizontal vibrators and SDR receivers based at RTR2832U microchip are used to receive radio signals. The station software performs continuous registration and analysis of received radio signals at the output of quadrature detectors of the receivers, automatic detection of moments of appearances of meteor reflections, formation, and sending by e-mail daily reports on detected meteor phenomena. Equipment setup and current monitoring of stations operations are carried out by the RI «MAO» using remote access to station computers via the Internet. Monthly reports on the number of meteor events recorded by each station are posted on the site of Radio Meteor Observation Bulletin (RMOB). The article presents the results, obtained by the network in 2017—2019, confirming a correspondence of daily variations in the number of meteors registered by network stations, to the known dependence (observation of meteors in the apex and antapex), as well as a correspondence between the expected characteristics (in time and intensity) of three meteor showers (Perseids, Geminids and Quadrantids) and that had been obtained by the network. Recommendations are also given in the article for additional research aimed at achieving the main goal, namely, expanding information about meteor phenomena, including the estimating of kinematic parameters (velocities, radiants) of meteoroids and their relationship with potentially hazardous asteroids.


2020 ◽  
Vol 125 (9) ◽  
Author(s):  
K. S. Obenberger ◽  
J. M. Holmes ◽  
S. G. Ard ◽  
J. Dowell ◽  
N. S. Shuman ◽  
...  
Keyword(s):  

2019 ◽  
Vol 124 (12) ◽  
pp. 10749-10759
Author(s):  
S. S. Varghese ◽  
K. S. Obenberger ◽  
G. B. Taylor ◽  
J. Dowell

2018 ◽  
Vol 13 (S349) ◽  
pp. 260-267 ◽  
Author(s):  
Sergei A. Kalabanov ◽  
Arkadiy V. Karpov ◽  
Amir I. Sulimov ◽  
Oleg N. Sherstyukov ◽  
Rashid A. Ishmuratov

AbstractThis paper presents a brief survey on the history of radar observations of meteors in Kazan from 1950s to present days. Such achievements of Kazan researchers as development and further improvement of original measuring equipment and antenna systems, of observational data processing methods, their contribution to the theory of physics of meteor phenomena and theoretical interpretation of experimental data are highlighted. A particular progress in meteor astronomy has been achieved with a new discrete quasi-tomoghraphic method for faint meteor showers identification that uses goniometer data of meteor radio reflections detected on radar as input data. The current state and new horizons of meteor studies in Kazan are stated.


2018 ◽  
Vol 27 (1) ◽  
pp. 318-325
Author(s):  
Mikhail Danilov ◽  
Arkadi Karpov

Abstract An artificial neural network is described for classification of meteor trails into the distinct overdense, intermediate and underdense trail categories. The neural network was trained and on model data obtained using the “KAMET” program and tested on real data. The best result of classification success rate of 95% without according to the heights of the formation of meteor trails. Results of classification with according to the heights of the formation of meteor trails are 82% - 91%.


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