Modeling frequency reconfigurable antenna array using neural networks

被引：7

作者：

Patnaik, A ^{[1
]}

Anagnostou, D

Christodoulou, CG

Lyke, JC

机构：

[1] Univ New Mexico, Dept Elect & Comp Engn, Albuquerque, NM 87131 USA

[2] USAF, Res Lab, VSSE, Kirtland AFB, Albuquerque, NM 87131 USA

来源：

MICROWAVE AND OPTICAL TECHNOLOGY LETTERS | 2005年 / 44卷 / 04期

关键词：

antenna array; MEMS; neural networks; reconfigurable antennas;

D O I：

10.1002/mop.20632

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 order to avoid the computational complexities involved in analyzing reconfigurable antennas, neural networks are used as an alternate approach. The neural network finds the location of the operational frequency bands for any combination of switches connecting different radiating elements. The network outputs are compared with the experimentally measured results. (C) 2005 Wiley Periodicals, Inc.

引用

页码：351 / 354

页数：4

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