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Thin‐wire antenna design for GPR applications using a multi‐objective GA
Author(s) -
Moreno de Jong van Coevorden C.,
Rubio Bretones A.,
Fernández Pantoja M.,
García Ruiz F.,
Garcia Salvador G.,
Monorchio A.,
Gómez Martín R.
Publication year - 2007
Publication title -
near surface geophysics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.639
H-Index - 39
eISSN - 1873-0604
pISSN - 1569-4445
DOI - 10.3997/1873-0604.2006015
Subject(s) - ground penetrating radar , resistive touchscreen , bandwidth (computing) , radiation pattern , genetic algorithm , geology , radar , antenna (radio) , acoustics , computer science , optics , engineering , physics , electrical engineering , telecommunications , machine learning
A Pareto multi‐objective genetic algorithm (MOGA) has been applied to the design of non‐dispersive, ultra‐wideband (UWB), resistively loaded, thin‐wire antennas for ground‐penetrating radar (GPR) applications. The radiation characteristics of the antennas are optimized, seeking to maximize the bandwidth and the front‐to‐back ratio. The variables in the design are the value and position of the resistive loads located along the antenna wires, the number of wires and the angular distances between those wires. The radiation characteristics of the optimized antennas are explored and an example of an application to detect cracks in marble blocks is presented.