Design of a miniaturized branch line microstrip coupler with a simple structure using artificial neural network

Author:

Roshani Saeed1,Azizian Javad1,Roshani Sobhan1,Jamshidi Mohammad (Behdad)23,Parandin Fariborz1

Affiliation:

1. Department of Electrical Engineering, Kermanshah Branch , Islamic Azad University , Kermanshah , Iran

2. Research and Innovation Center for Electrical Engineering (RICE) , University of West Bohemia , Pilsen , Czech Republic

3. Department of Power Electronics and Machines (KEV) , University of West Bohemia , Pilsen , Czech Republic

Abstract

Abstract In this paper, a compact branch microstrip coupler with the simple structure using T-shaped resonators and open-ended stubs at 1.8 GHz is designed and fabricated. The proposed coupler creates two transmission zeros at 3.4 and 3.87 GHz, with more than 50 dB attenuation level, which resulted in a good harmonic suppression at 2nd harmonic. Artificial neural network (ANN) has been utilized to extract the transfer function of the proposed coupler resonator for the first time, so the values of the transmission zeros can be located in the desired frequency. This technique can also be used for the other electrical devices. The designed device has a small size of 28 mm × 30 mm (0.9 λ × 0.95 λ), which shows more than 35% size reduction compared to the typical branch-line coupler with λ/4 branch lines. The proposed coupler is simulated using Advanced Design System (ADS) software and fabricated on Rogers Duroid 5880 substrate (ε r = 2.2, h = 31 mil). The simulation and measurement results verify the correct performance of the designed coupler.

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3