Neutralization Technique Model Using Artificial Neural Networks

被引：0

作者：

Addaci, R. ^{[1
]}

Staraj, R. ^{[1
]}

Hamdiken, N. ^{[2
]}

Fortaki, T. ^{[2
]}

机构：

[1] Univ Nice Sophia Antipolis, CNRS, LEAT, Bat Forum,Campus Sophi Tech,930 Route Colles, F-06903 Sophia Antipolis, France

[2] Univ Batna, Adv Elect Lab, Batna 05000, Algeria

来源：

2012 24TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS (ICM) | 2012年

关键词：

component; Antenna modeling; artificial neural networks; multi-antenna systems; neutralization technique; ANTENNA SYSTEM; MIMO ANTENNA; DIVERSITY; PIFAS;

D O I：

暂无

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, a neuronal model based on artificial neural network (ANN) is developed to model the so called neutralization line isolation technique. This approach allows a faster analysis and design of multi-antenna systems based on two PIFAs mounted on a mobile phone type printed circuit board (PCB) with very significant time gain and accurate results compared to other electromagnetic simulation tools whether in analysis or design sense.

引用

页数：4

共 23 条

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