Estimation of Radio Refractivity Profile Gradient From Multiple LOS Links Using Artificial Neural Networks - First Results

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00193126" target="_blank" >RIV/68407700:21230/12:00193126 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Estimation of Radio Refractivity Profile Gradient From Multiple LOS Links Using Artificial Neural Networks - First Results
Original language description
The question of a vertical refractivity gradient estimation is discussed herein. Artificial neural networks have been used as a tool to verify the existence of an unambiguous relationship between the vertical refractivity gradient and the electromagneticwave strength measured at multiple heights by three antennas with direct visibility on the transmitter (line-of-sight links). Specific results of the estimation are presented and compared with meteorological measurements.
Czech name
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Czech description
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Project
<a href="/en/project/GAP102%2F10%2F1901" target="_blank" >GAP102/10/1901: Basic Research of Radiometeorology Properties of Tropospheric Ducting Layers by Using Artificial Intelligence Methods</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 6th European Conference on Antennas and Propagation (EUCAP 2012)
ISBN
978-1-4577-0920-3
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1174-1177
Publisher name
IEEE
Place of publication
Piscataway
Event location
Praha
Event date
Mar 25, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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