This work introduces a novel method to include the passive structure of a printed circuit board into an infinitesimal dipole model that is reconstructed from near-field measurement data. Specifically, the proposed approach enables the construction of equivalent models that include dipole sources, substrate, and perfect electric conductor plane. The electromagnetic near-fields of the infinitesimal dipoles in this configuration are estimated through an adaptation of the partial image expansion technique. The proposed method has the capability to provide accurate results for a wide variety of configurations. Furthermore, it can be easily incorporated into existing dipole array optimization workflows with minimal added computational complexity.

A New Method Exploiting Partial Image Expansion to Include Substrate and Ground in Dipole-Based Near-Field Models

Monopoli, T;Wu, X;Grassi, F;Pignari, SA;
2023-01-01

Abstract

This work introduces a novel method to include the passive structure of a printed circuit board into an infinitesimal dipole model that is reconstructed from near-field measurement data. Specifically, the proposed approach enables the construction of equivalent models that include dipole sources, substrate, and perfect electric conductor plane. The electromagnetic near-fields of the infinitesimal dipoles in this configuration are estimated through an adaptation of the partial image expansion technique. The proposed method has the capability to provide accurate results for a wide variety of configurations. Furthermore, it can be easily incorporated into existing dipole array optimization workflows with minimal added computational complexity.
2023
ELETTRICI
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1258545
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