A miniaturized ultra-wideband filter with high rejection and selectivity based on dual-notch bands.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 05 12 2023
accepted: 22 06 2024
medline: 2 8 2024
pubmed: 2 8 2024
entrez: 2 8 2024
Statut: epublish

Résumé

A novel compact and highly selective Ultra Wide Band (UWB) filter is proposed using multimode resonator (MMR) technology. To begin with, the filter's ultra-wideband performance is achieved by coupling a stepped-triangular multimode resonator with input-output feedlines. Furthermore, dual-notch band characteristics are realized at 6.80 GHz and 9.82 GHz, employing asymmetric coupled lines and the split ring resonator (SRR) methods. Eventually, by using a Defected Ground Structure (DGS), the filter's correct transmission zero is deepened, further enhancing the out-of-band suppression performance at higher frequencies. The measured results are in excellent agreement with the experimental results, and the filter has a passband range of 3.52-11.68 GHz, a center frequency of 7.59 GHz, an insertion loss of just 0.61 dB, and a return loss of more than 18 dB. The transmission zeros have a rejection capability of more than 47 dB attenuation, and the rectangular coefficient of the filter is 1.34, which is outstanding for filtering out the interference signals in the parasitic passband with superior selectivity. The overall structure is compact, and the size is just 0.41λg×0.20λg. The filter can be used for UWB system filtering and also to avoid interference from some Wireless Local Area Network (WLAN) IEEE 802.11 series and x-band satellite link frequency bands.

Identifiants

pubmed: 39093834
doi: 10.1371/journal.pone.0306730
pii: PONE-D-23-40721
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0306730

Informations de copyright

Copyright: © 2024 Gao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

NO authors have competing interests.

Auteurs

Mingming Gao (M)

College of Electronics and Information Engineering, Liaoning Technicial University, Huludao, Liaoning Province, China.
Liaoning Key Laboratory of Radio Frequency and Big Data for Intelligent Applications, Huludao, Liaoning Province, China.

Ya He (Y)

College of Electronics and Information Engineering, Liaoning Technicial University, Huludao, Liaoning Province, China.
Liaoning Key Laboratory of Radio Frequency and Big Data for Intelligent Applications, Huludao, Liaoning Province, China.

Jingchang Nan (J)

College of Electronics and Information Engineering, Liaoning Technicial University, Huludao, Liaoning Province, China.
Liaoning Key Laboratory of Radio Frequency and Big Data for Intelligent Applications, Huludao, Liaoning Province, China.

Zhenzhi Yang (Z)

College of Electronics and Information Engineering, Liaoning Technicial University, Huludao, Liaoning Province, China.

Congying Wang (C)

College of Electronics and Information Engineering, Liaoning Technicial University, Huludao, Liaoning Province, China.
Liaoning Key Laboratory of Radio Frequency and Big Data for Intelligent Applications, Huludao, Liaoning Province, China.

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Classifications MeSH