Design of Chebychev's Low Pass Filters Using Nonuniform Transmission Lines

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of ICT Research and Applications Pub Date : 2015-12-31 DOI:10.5614/ITBJ.ICT.RES.APPL.2015.9.3.1
Said Attamimi, M. Alaydrus
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引用次数: 2

Abstract

Transmission lines are utilized in many applications to convey energy as well as information. Nonuniform transmission lines (NTLs) are obtained through variation of the characteristic quantities along the axial direction. Such NTLs can be used to design network elements, like matching circuits, delay equalizers, filters, VLSI interconnections, etc. In this work, NTLs were analyzed with a numerical method based on the implementation of method of moment. In order to approximate the voltage and current distribution along the transmission line, a sum of basis functions with unknown amplitudes was introduced. As basis function, a constant function was used. In this work, we observed several cases such as lossless and lossy uniform transmission lines with matching and arbitrary load. These cases verified the algorithm developed in this work. The second example consists of nonuniform transmission lines in the form of abruptly changing transmission lines. This structure was used to design a Chebychev’s low pass filter. The calculated reflection and transmission factors of the filters showed some coincidences with the measurements.
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采用非均匀传输线的切比契夫低通滤波器的设计
传输线在许多应用中被用来传递能量和信息。非均匀传输线是通过特征量沿轴向的变化而得到的。这些ntl可用于设计网络元件,如匹配电路、延迟均衡器、滤波器、VLSI互连等。本文基于矩量法的实现,采用数值方法对ntl进行了分析。为了逼近输电线路上的电压和电流分布,引入了一组未知幅值基函数和。采用常数函数作为基函数。在这项工作中,我们观察了几种情况,如无损和有损均匀传输线的匹配和任意负载。这些案例验证了本文所开发的算法。第二个例子包括以突然变化的传输线形式出现的非均匀传输线。利用该结构设计了一个切比切夫低通滤波器。计算得到的滤光片的反射系数和透射系数与实测结果有一定的吻合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of ICT Research and Applications
Journal of ICT Research and Applications COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
1.60
自引率
0.00%
发文量
13
审稿时长
24 weeks
期刊介绍: Journal of ICT Research and Applications welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless & Mobile Computing, Internet Technology, Multimedia, Software Engineering, Computer Science, Information System and Knowledge Management. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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