Design and analysis of a bandpass filter implemented in substrate integrated waveguide

This paper presents a bandpass filter design based on a Substrate Integrated Waveguide (SIW) with resonant elements on both sides of the substrate. The proposed filter achieves a unique 0.5 GHz bandwidth centered at 6.54 GHz as well as demonstrates exceptional performance with a Voltage Standing Wav...

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Detalles Bibliográficos
Autores: Talmoudi, Omaima, Gómez Gómez, Álvaro|||0000-0002-1697-9626, Fernández Fernández, Óscar|||0000-0002-6441-5702, Fernández Ibáñez, Tomás|||0000-0003-2006-6245, Tribak, Abdelwahed, Terhzaz, Jaouad
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/33945
Acceso en línea:https://hdl.handle.net/10902/33945
Access Level:acceso abierto
Palabra clave:Microstrip transition
Resonant structure
Substrate Integrated Waveguide (SIW)
Taper
Vias
Descripción
Sumario:This paper presents a bandpass filter design based on a Substrate Integrated Waveguide (SIW) with resonant elements on both sides of the substrate. The proposed filter achieves a unique 0.5 GHz bandwidth centered at 6.54 GHz as well as demonstrates exceptional performance with a Voltage Standing Wave Ratio (VSWR) below 2, ensuring efficient power transmission. Additionally, the filter showcases a rejection level of more than 20 dB for out-of-band frequencies, highlighting its superior selectivity. The novelty of this work lies in the innovative combination of compact size, high frequency selectivity, and excellent VSWR performance, making it a standout solution for microwave and RF applications. By presenting comprehensive numerical and experimental results, including a detailed comparison with existing designs, this study underscores the significant advancements and advantages offered by the proposed filter in terms of size, frequency response, rejection level, and VSWR optimization.