Study on the Prediction of Troposcatter Transmission Loss
Autor: | Rui Zhang, Leke Lin, Zhensen Wu, Lei Li, Zhen-Wei Zhao |
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Rok vydání: | 2016 |
Předmět: |
Meteorology
Transmission loss 020206 networking & telecommunications 02 engineering and technology Anomalous propagation Interference (wave propagation) Data modeling 03 medical and health sciences Radio propagation model 0302 clinical medicine Path length Statistics 0202 electrical engineering electronic engineering information engineering ITU terrain model Log-distance path loss model Electrical and Electronic Engineering 030217 neurology & neurosurgery Mathematics |
Zdroj: | IEEE Transactions on Antennas and Propagation. 64:1071-1079 |
ISSN: | 1558-2221 0018-926X |
DOI: | 10.1109/tap.2016.2515125 |
Popis: | In this article, a novel semiempirical average annual troposcatter transmission loss prediction model is presented. The model is generated by optimizing the correlation coefficients of propagation path conditions utilizing the modern optimization algorithm. The statistical relativities of troposcatter transmission loss as captured by changing frequency, path length, scatter angle, and meteorological condition are each analyzed using the terrestrial trans-horizon propagation loss data banks released by the International Telecommunication Union (ITU). For the percentages of time transmission loss not falling below 50%, the model is combined with the model of anomalous propagation mechanism introduced in the Recommendation ITU-R P.2001. The prediction results of this new troposcatter model are compared with other troposcatter models and with the trans-horizon propagation loss data banks. The comparisons show that the new model has a better estimated accuracy. |
Databáze: | OpenAIRE |
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