Titre :

New Strategies for CEM Simulation of Microstrip Circuits and Antennas

Auteur(s) :

Mittra, Raj [Auteur]
University of Central Florida [Orlando] [UCF]
Electromagnetic Communication Laboratory [EMC Lab]
Chaudhary, Prashant [Auteur]
University of Central Florida [Orlando] [UCF]
Marinovic, Tomislav [Auteur]
Nasri, Abdelkhalek [Auteur]
Photonique THz - IEMN [PHOTONIQUE THZ - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]

Titre de la manifestation scientifique :

2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI)

Ville :

Portland

Pays :

Etats-Unis d'Amérique

Date de début de la manifestation scientifique :

2023-07-23

Éditeur :

IEEE

Discipline(s) HAL :

Physique [physics]
Sciences de l'ingénieur [physics]

Résumé en anglais : [en]

This paper describes several novel strategies which help reduce the runtimes and memory requirements when simulating antennas and associated RF circuits in the millimeter-wave region, where the physical size of the radiating ...
Lire la suite >This paper describes several novel strategies which help reduce the runtimes and memory requirements when simulating antennas and associated RF circuits in the millimeter-wave region, where the physical size of the radiating module is often large w.r.t. the wavelength. These strategies include the use of a hybrid domain-decomposition solver which combines the Finite-Difference Time-Domain (FDTD) method and the method of moments (MoM). The MoM domains are discretized by using a uniform Cartesian mesh to simplify the meshing problem, and this type of mesh provides the basis for defining the piecewise sinusoidal (PWS) basis functions. Likewise, the moment-matrix generation process is greatly simplified and enhanced in numerical efficiency by using the Equivalent Medium Approach (EMA) to circumvent the problem of generating the layered medium Green's function for the layered problem at hand, in addition to deploying the available GPU resources to reduce the matrix fill-in time even further. Moreover, the size of the generated MoM matrix can be reduced significantly by generating the reduced set of high-level basis functions on the selected domains, the underlying concept behind for instance the Characteristic Basis Function Method (CBFM).Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL