Adaptive genetic algorithm based source identification with near-field scanning method - CentraleSupélec Access content directly
Journal Articles Progress In Electromagnetics Research B Year : 2008

Adaptive genetic algorithm based source identification with near-field scanning method

Abstract

With the global search method of adaptive genetic algorithm (GA), an improved methodology is proposed to identify the equivalent radiating dipoles of real sources on substrates such as printed circuit boards (PCB) and then to regenerate the radiating far field. This methodology is based on a set of elemental electric-and magnetic dipoles which model the real sources. The numbers, positions and orientations as well as the elevations of each dipole are positioned by adaptive GA based on the comparison between the simulated and measured magnetic field. The methodology provides a possible way to identify the radiating source of planar circuits with ground plane.
Fichier principal
Vignette du fichier
Liu-PIER-B-08.pdf (382.8 Ko) Télécharger le fichier
Origin Publisher files allowed on an open archive

Dates and versions

hal-00354427 , version 1 (25-01-2021)

Identifiers

Cite

Bing Liu, Lotfi Beghou, Lionel Pichon. Adaptive genetic algorithm based source identification with near-field scanning method. Progress In Electromagnetics Research B, 2008, 9, pp.215-230. ⟨10.2528/PIERB08070904⟩. ⟨hal-00354427⟩
71 View
66 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More