An approach of the diffraction loss prediction using artificial neural network in hilly mountainous terrain

被引：1
|
作者：
Lee, Changwon [1 ,2 ]
Park, Sungkwon [1 ]
机构：
[1] Hanyang Univ, Dept Elect & Comp Engn, Seoul 133791, South Korea
[2] Agcy Def Dev, R&D Inst 2, Daejeon, South Korea
来源：
MICROWAVE AND OPTICAL TECHNOLOGY LETTERS | 2017年 / 59卷 / 11期
关键词：
diffraction loss; multiple edge diffraction; neural network; path loss prediction; PROPAGATION;
D O I：
10.1002/mop.30852
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An artificial neural network based diffraction model for hilly mountainous terrain is proposed. The proposed diffraction model is applied to predict the path in the case of non-line-of-sight. The input parameters of the proposed model are presented and their performance in the path loss prediction is compared with the results from traditional empirical diffraction models using measurement data taken in mountain areas.
引用
收藏
页码：2917 / 2922
页数：6
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