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ECOLE SUPÉRIEURE D'ÉLECTRICITÉ Une grande école d'ingénieurs au cœur des sciences de l'information,de l'énergie et des systèmes |
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Journal articles
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.
https://hal-supelec.archives-ouvertes.fr/hal-00354427
Contributor : Olivier Schneegans Connect in order to contact the contributor
Submitted on : Monday, January 25, 2021 - 11:02:01 PM
Last modification on : Friday, February 5, 2021 - 3:31:15 AM
Long-term archiving on: : Monday, April 26, 2021 - 7:37:03 PM
Contributor : Olivier Schneegans Connect in order to contact the contributor
Submitted on : Monday, January 25, 2021 - 11:02:01 PM
Last modification on : Friday, February 5, 2021 - 3:31:15 AM
Long-term archiving on: : Monday, April 26, 2021 - 7:37:03 PM
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Liu-PIER-B-08.pdf
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