ADAPTIVE GENETIC ALGORITHM BASED SOURCE IDENTIFICATION WITH NEAR-FIELD SCANNING METHOD | Zendy

Bing Liu | Zendy; Lotfi Beghou | Zendy; Lionel Pichon | Zendy; François Costa | Zendy

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ADAPTIVE GENETIC ALGORITHM BASED SOURCE IDENTIFICATION WITH NEAR-FIELD SCANNING METHOD

Author(s) -

Bing Liu,

Lotfi Beghou,

Lionel Pichon,

François Costa

Publication year - 2008

Publication title -

progress in electromagnetics research b

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.208

H-Index - 47

ISSN - 1937-6472

DOI - 10.2528/pierb08070904

Subject(s) - computer science , identification (biology) , field (mathematics) , algorithm , genetic algorithm , machine learning , mathematics , biology , botany , pure mathematics

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 electricand 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.

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