Diffraction Loss Prediction of Multiple Edges Using Bullington Method with Neural Network in Mountainous Areas
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...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2018/8737594 |
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| author | Changwon Lee Sungkwon Park |
| author_facet | Changwon Lee Sungkwon Park |
| author_sort | Changwon Lee |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b6887091dfb145c29d805274b00f6310 |
| institution | OA Journals |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-b6887091dfb145c29d805274b00f63102025-08-20T02:23:08ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772018-01-01201810.1155/2018/87375948737594Diffraction Loss Prediction of Multiple Edges Using Bullington Method with Neural Network in Mountainous AreasChangwon Lee0Sungkwon Park1Department of Electronics and Computer Engineering, Hanyang University, Seoul 133-791, Republic of KoreaDepartment of Electronics and Computer Engineering, Hanyang University, Seoul 133-791, Republic of KoreaThis 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.http://dx.doi.org/10.1155/2018/8737594 |
| spellingShingle | Changwon Lee Sungkwon Park Diffraction Loss Prediction of Multiple Edges Using Bullington Method with Neural Network in Mountainous Areas International Journal of Antennas and Propagation |
| title | Diffraction Loss Prediction of Multiple Edges Using Bullington Method with Neural Network in Mountainous Areas |
| title_full | Diffraction Loss Prediction of Multiple Edges Using Bullington Method with Neural Network in Mountainous Areas |
| title_fullStr | Diffraction Loss Prediction of Multiple Edges Using Bullington Method with Neural Network in Mountainous Areas |
| title_full_unstemmed | Diffraction Loss Prediction of Multiple Edges Using Bullington Method with Neural Network in Mountainous Areas |
| title_short | Diffraction Loss Prediction of Multiple Edges Using Bullington Method with Neural Network in Mountainous Areas |
| title_sort | diffraction loss prediction of multiple edges using bullington method with neural network in mountainous areas |
| url | http://dx.doi.org/10.1155/2018/8737594 |
| work_keys_str_mv | AT changwonlee diffractionlosspredictionofmultipleedgesusingbullingtonmethodwithneuralnetworkinmountainousareas AT sungkwonpark diffractionlosspredictionofmultipleedgesusingbullingtonmethodwithneuralnetworkinmountainousareas |