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Simulations of the Minimum Frequencies of Ionospheric Modes for Radio Communication Forecast
N. V. Pushkov Institute of Terrestrial Magnetism, Ionosphere, and Radio Wave Propagation , Russia;St. Petersburg State University, Russia.
N. V. Pushkov Institute of Terrestrial Magnetism, Ionosphere, and Radio Wave Propagation of the Russian Academy of Sciences, Russia .
N. V. Pushkov Institute of Terrestrial Magnetism, Ionosphere, and Radio Wave Propagation of the Russian Academy of Sciences, Russia .
N. V. Pushkov Institute of Terrestrial Magnetism, Ionosphere, and Radio Wave Propagation , Russia;St. Petersburg State University,, Russia.
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2021 (English)In: Radiophysics and Quantum Electronics, ISSN 0033-8443, E-ISSN 1573-9120, Vol. 64, no 8-9, p. 605-617Article in journal (Refereed) Published
Abstract [en]

We apply two promising approaches, namely, the shooting method based on global optimization and the generalized force method, to the problem of point-to-point ionospheric ray tracing where the ionospheric modes tend to the minimum frequency. In most cases, both methods are capable of finding all rays connecting the given transmitter and receiver. However, the generalized force approach is more stable in locating highly divergent high rays. Application of the methods to a long-range single-hop radio channel demonstrates their potential for expanding the simulated frequency range, refining the model ionograms in the ranges of the minimum frequency of reflection from ionospheric layers, and significantly improving the overall forecast of the lowest usable frequency. The results of numerical simulations were also compared with the experimental data. Joint application of the presented methods provides valuable means for solving applied problems of radio communication forecast.

Place, publisher, year, edition, pages
Springer, 2021. Vol. 64, no 8-9, p. 605-617
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Other Physics Topics
Research subject
Physics, Waves, Signals and Systems
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URN: urn:nbn:se:lnu:diva-116376DOI: 10.1007/s11141-022-10163-6ISI: 000805717300001Scopus ID: 2-s2.0-85131312293OAI: oai:DiVA.org:lnu-116376DiVA, id: diva2:1697318
Available from: 2022-09-20 Created: 2022-09-20 Last updated: 2022-09-28Bibliographically approved

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Bessarab, Pavel F.

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