Artificial Neural Network with Active Element Pattern Technique for Finite Periodic Array Design

被引：3
|
作者：
Hong, Yang [1 ]
Lv, Yan-He [1 ]
Luo, Hai-Ying [1 ]
Shao, Wei [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Phys, Chengdu, Peoples R China
来源：
2020 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION AND NORTH AMERICAN RADIO SCIENCE MEETING | 2020年
关键词：
active element pattern (AEP); artificial neural network (ANN); finite periodic array; transfer function (TF);
D O I：
10.1109/IEEECONF35879.2020.9329740
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：
In this paper, an artificial neural network model based on the transfer function is proposed for parametric modeling of finite periodic arrays. The active element pattern technique, which takes the effects of the mutual coupling into account, is applied to the array analysis. A linear periodic phased array consisting of U-shaped slot elements is utilized to confirm the validity of the proposed model. The results demonstrate that the model is practical and efficient in array design.
引用
收藏
页码：2047 / 2048
页数：2
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