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Micro-scale lowpass filters based on the Maxwell-Wagner phenomenon

Micro-scale lowpass filters based on the Maxwell-Wagner phenomenon
Micro-scale lowpass filters based on the Maxwell-Wagner phenomenon
This paper presents a novel approach for designing miniaturized distributed lowpass filters. We propose to utilize microstrip transmission lines based on multilayer substrates which support slow-electromagnetic propagation. Based on such substrates, very compact LPFs are presented with cut-off frequencies in the low GHz region, with the measured insertion loss varying from 0.5-1.7 dB and with a return loss better than 7 dB from 100 MHz-2 GHz.
850-853
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Papavassiliou, Christos
e51de0f1-db39-4e1f-ac66-8e10a2d282b9
Konstantinidis, George
329ab719-542b-4562-9e94-3a8d750c315e
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Papavassiliou, Christos
e51de0f1-db39-4e1f-ac66-8e10a2d282b9
Konstantinidis, George
329ab719-542b-4562-9e94-3a8d750c315e

Prodromakis, Themistoklis, Papavassiliou, Christos and Konstantinidis, George (2007) Micro-scale lowpass filters based on the Maxwell-Wagner phenomenon At 2007 European Microwave Conference, Germany. 09 - 12 Oct 2007. , pp. 850-853. (doi:10.1109/EUMC.2007.4405326).

Record type: Conference or Workshop Item (Other)

Abstract

This paper presents a novel approach for designing miniaturized distributed lowpass filters. We propose to utilize microstrip transmission lines based on multilayer substrates which support slow-electromagnetic propagation. Based on such substrates, very compact LPFs are presented with cut-off frequencies in the low GHz region, with the measured insertion loss varying from 0.5-1.7 dB and with a return loss better than 7 dB from 100 MHz-2 GHz.

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Published date: 2007
Venue - Dates: 2007 European Microwave Conference, Germany, 2007-10-09 - 2007-10-12
Organisations: Nanoelectronics and Nanotechnology

Identifiers

Local EPrints ID: 351573
URI: http://eprints.soton.ac.uk/id/eprint/351573
PURE UUID: 3f45d643-702f-4047-96d0-703f2d93125d

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Date deposited: 13 May 2013 15:17
Last modified: 18 Jul 2017 04:25

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Contributors

Author: Christos Papavassiliou
Author: George Konstantinidis

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