Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

A high-selectivity Microstrip Band-pass Filter

Authors
Mingjie LI, Yufeng Peng, Yi Zhang, Xueyun Han, Ruxia Chen, Bin Wang, Xiaolin Zhu
Corresponding Author
Mingjie LI
Available Online June 2017.
DOI
10.2991/caai-17.2017.42How to use a DOI?
Keywords
microstrip band-pass filter; implement matching; matching circuit
Abstract

In this paper a high-selectivity microstrip band-pass filter with parallel coupling microstrip line is proposed. This microstrip filter adopts Chebyshev's prototype structure, by adding microstrip line at one end of the parallel coupling line to implement circuit matching and adding a high-pass filter circuit at the other end to improve the transmission characteristics. The filter is designed and simulated by RF software. Compared with the traditional parallel coupled microstrip band-pass filter, the bandwidth of this filter is much narrower, transmission characteristics and reflection characteristics are much better from the simulation results.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
10.2991/caai-17.2017.42
ISSN
1951-6851
DOI
10.2991/caai-17.2017.42How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Mingjie LI
AU  - Yufeng Peng
AU  - Yi Zhang
AU  - Xueyun Han
AU  - Ruxia Chen
AU  - Bin Wang
AU  - Xiaolin Zhu
PY  - 2017/06
DA  - 2017/06
TI  - A high-selectivity Microstrip Band-pass Filter
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 194
EP  - 197
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.42
DO  - 10.2991/caai-17.2017.42
ID  - LI2017/06
ER  -