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Diffraction Loss Prediction of Multiple Edges Using Bullington Method with Neural Network in Mountainous Areas

Title
Diffraction Loss Prediction of Multiple Edges Using Bullington Method with Neural Network in Mountainous Areas
Author
박승권
Keywords
RADIO PROPAGATION; ALGORITHM; TERRAIN; MODELS
Issue Date
2018-02
Publisher
HINDAWI LTD
Citation
INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION, Article no. 8737594
Abstract
This paper proposes a neural network approach to improve the Bullington method by using parameters obtained from ignored obstacles in mountainous areas. Measurements were performed in mountainous areas to compare the prediction accuracy of propagation loss. And the measured data were used for neural network training. A detailed description of the input parameters of the proposed neural network is presented. The prediction performances were improved by up to 3.20 dB in the average error and 2.11 dB in the standard deviation of errors by the proposed method when compared to traditional diffraction methods.
URI
https://www.hindawi.com/journals/ijap/2018/8737594/https://repository.hanyang.ac.kr/handle/20.500.11754/117381
ISSN
1687-5869; 1687-5877
DOI
10.1155/2018/8737594
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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