Results 1 to 10 of about 950 (162)

A Deep Learning-Enabled Ionogram Dataset for Detection and Classification of Low-latitude Spread-F Phenomena [PDF]

Scientific Data
Research on the ionospheric Spread-F (SF) phenomenon holds significant value in both fields as ionospheric electrodynamic research and enhanced operational applications in radio-based technologies (e.g., communication and navigation).
Pengdong Gao, Qingyi Zhu, Jinhui Cai, Zheng Wang, Guojun Wang, Meiyi Zhan, Quan Qi, Jiankui Shi, Chu Qiu, Bo Wang, Yajun Zhu, Xiao Wang, Kai Ding   +12 more
doaj   +2 more sources

ACCOUNTING FOR SMALL-SCALE IRREGULARITIES IN THE PROPAGATION OF SHORT RADIO WAVES IN THE HIGH-LATITUDE IONOSPHERE [PDF]

Proceedings on Engineering Sciences, 2023
In the modern world, the need for accurate knowledge of the state of the high-latitude ionosphere has increased, the modeling of which is difficult due to the presence of a large-scale structure.
Gennadiy Zhbankov , Olga Maltseva
doaj   +1 more source

On the Results of a Special Experiment on the Registration of Traveling Ionospheric Disturbances by a System of Synchronously Operating Chirp Ionosondes

Atmosphere, 2022
We present the results of observations of traveling ionospheric disturbances (TIDs) based on the data of the operation of the network of chirp oblique sounding stations of the ionosphere on 18–19 December 2019. For observations, four stations of the same
Fedor Vybornov, Olga Sheiner, Alexey Kolchev, Evgeniy Zykov, Aleksandr Chernov, Vladimir Shumaev, Aleksandr Pershin   +6 more
doaj   +1 more source

A Comparative Study on Radio Frequency Interference Suppression and foF2 Scaling for Ionograms

Remote Sensing, 2023
In this paper, we compare the performances of radio frequency interference (RFI) suppression between radio frequency interference mitigation (RFIM) and frequency-domain adaptive clutter suppression (FACS) algorithms that apply to ionograms for foF2 ...
Zhao-Yu Chen, Kai-Jun Ke, Ching-Lun Su, Hung-Shi Lin, Yu-Lei Lai, Yen Lin, Yen-Hsyang Chu   +6 more
doaj   +1 more source

Automatic Detection and Classification of Spread‐F From Ionosonde at Hainan With Image‐Based Deep Learning Method

Space Weather, 2023
An intelligent Spread‐F image detection and classification method is presented in this paper based on an ionogram image set using deep learning models.
Zheng Wang, Meiyi Zhan, Pengdong Gao, Guojun Wang, Chu Qiu, Quan Qi, Jiankui Shi, Xiao Wang   +7 more
doaj   +1 more source

Interpretation of deformed ionograms induced by vertical ground motion of seismic Rayleigh waves and infrasound in the thermosphere [PDF]

Annales Geophysicae, 2016
The vertical ground motion of seismic surface waves launches acoustic waves into the atmosphere and induces ionospheric disturbances. Disturbances due to Rayleigh waves near the short-period Airy phase appear as wavy fluctuations in the virtual height
T. Maruyama, T. Maruyama, K. Yusupov, A. Akchurin   +3 more
doaj   +1 more source

Design and application of the multi‐transmitting and multi‐receiving ionospheric detection network

IET Radar, Sonar & Navigation, 2021
To observe a large area of ionosphere with relatively dense observing points, we design and implement an experimental multi‐transmitting and multi‐receiving ionospheric detection network in China.
Hao Qi, Gang Chen, Wanlin Gong, Da Huo, Yaxian Li, Zhihua Wang   +5 more
doaj   +1 more source

The Prototype of a Fast Vertical Ionosonde Based on Modern Software-Defined Radio Devices

Remote Sensing, 2022
The description and test results of the prototype of a fast ionosonde for the vertical sounding of the ionosphere, which makes it possible to record ionograms once a second, are presented.
Alexei V. Shindin, Sergey P. Moiseev, Fedor I. Vybornov, Kseniya K. Grechneva, Viktoriya A. Pavlova, Vladimir R. Khashev   +5 more
doaj   +1 more source

A comparison of FORMOSAT-3/COSMIC radio occultation and ionosonde measurements in sporadic E detection over mid- and low-latitude regions

Frontiers in Astronomy and Space Sciences, 2023
The investigation of sporadic E or Es layers typically relies on ground-based or satellite data. This study compares the Es layers recorded in ionograms with those detected using GNSS L1 signal-to-noise ratio data from FORMOSAT-3/COSMIC radio occultation
S. Sobhkhiz-Miandehi, S. Sobhkhiz-Miandehi, Y. Yamazaki, C. Arras, C. Arras, D. Themens, D. Themens   +6 more
doaj   +1 more source

INVERSION OF BACKSCATTER IONOGRAMS INTO QUASI-PARABOLIC IONOSPHERIC LAYER PARAMETERS

Solar-Terrestrial Physics, 2020
We present an inversion scheme of the backscatter signal leading edge into parameters of the quasi-parabolic electron density profile, which is based on the comparison of experimental and calculated minimum delays of scattered signals with corresponding ...
S.N. Ponomarchuk, M.S. Penzin
doaj   +1 more source