Efficient analysis of arbitrarily shaped inductive obstacles in rectangular waveguides using a surface integral equation formulation

In this paper we propose to use the Surface Integral Equation technique for the analysis of arbitrarily shaped Hplane obstacles in rectangular waveguides, which can contain both metallic and/or dielectric objects. The Green functions are formulated using both spectral and spatial images series, whos...

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Detalles Bibliográficos
Autores: Quesada Pereira, Fernando Daniel, Boria Esbert, Vicente Enrique, Pascual García, Juan, Melcón Álvarez, Alejandro, Gómez Tornero, José Luis, Vidal Pantaleoni, Ana, Gimeno Martínez, Benito
Tipo de recurso: artículo
Fecha de publicación:2007
País:España
Institución:Universidad Politécnica de Cartagena(UPCT)
Repositorio:Repositorio Digital UPCT
OAI Identifier:oai:repositorio.upct.es:10317/661
Acceso en línea:http://hdl.handle.net/10317/661
Access Level:acceso abierto
Palabra clave:Componentes de guía de ondas
Resonadores dieléctricos
Ecuaciones integrales
Funciones Green
Discontinuidades de ondas guía
Waveguide components
Dielectric resonators
Integral equation (IE)
Methods currently
Waveguide discontinuities
Moment methods
Green's functions
Métodos de momentos
Teoría de la Señal y las Comunicaciones
Descripción
Sumario:In this paper we propose to use the Surface Integral Equation technique for the analysis of arbitrarily shaped Hplane obstacles in rectangular waveguides, which can contain both metallic and/or dielectric objects. The Green functions are formulated using both spectral and spatial images series, whose convergence behavior has been improved through several acceleration techniques. Proceeding in this way, the convergence of the series is not attached to the employment of any particular basis or test function, thus consequently increasing the flexibility of the implemented technique. In order to test the accuracy and numerical efficiency of the proposed method, results for practical microwave circuits have been successfully compared with other numerical approaches.