Publication:
Multipactor breakdown analysis of Ku-band meandered low-pass filter

Consultable a partir de

Date

2022

Director

Publisher

Acceso abierto / Sarbide irekia
Contribución a congreso / Biltzarrerako ekarpena
Versión publicada / Argitaratu den bertsioa

Project identifier

European Commission/Horizon 2020 Framework Programme/811232openaire
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-112545RB-C53/ES/

Abstract

In this work, a very compact rectangular waveguide low-pass filter with meandered topology based on commensurate lines for Ku-band satellite applications is analysed for high-power handling capabilities. The device consists of rectangular waveguide sections properly cascaded to form a meandered topology to obtain the desired value of the local reflection coefficients. which are essential to achieve the target frequency response and also to keep large mechanical gaps. Hence, this technique allows us not only to design a filter with compact size but a filter geometry which is suitable for high power applications. In the paper, the low-pass filter based on commensurate lines is first designed by cascading E-plane mitered bends (±90° EMBs) in CST Microwave Studio (MWS) and then the values of the electromagnetic fields at the passband frequencies are exported to Spark3D to perform a multipactor analysis. The critical areas inside the device where the multipactor discharge occurs will also be identified in the high-power analysis. https://doi.org/10.5281/zenodo.7343236

Keywords

Waveguide filter, Multipactor, Commensurate line, Ku-band, Satellite applications, High-power filter

Department

Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren / Institute of Smart Cities - ISC / Ingeniería Eléctrica, Electrónica y de Comunicación

Faculty/School

Degree

Doctorate program

Editor version

Funding entities

This work was supported by the Spanish Ministerio de Ciencia e Innovación –Agencia Estatal de Investigación (MCIN/AEI/10.13039/501100011033) under Project PID2020-112545RB-C53 and by the European Union’s Horizon 2020 Research and Innovation Program under Grant 811232-TESLA-H2020-MSCA-ITN-2018.

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