Title :
On the Design of a Thin-Wire Bow-Tie Antenna for GPR using Evolutionary Optimization Algorithms
Author :
de Jong Van Coevorden, C.M. ; Pantoja, M.F. ; Garcia, S.G. ; Bretones, A.R. ; Palmer, K. ; Martin, Rafael G.
Author_Institution :
kFacultad de Cienc., Univ. of Granada, Granada, Spain
Abstract :
In this communication we compare the performance of classical genetic algorithms (cGA) with a new type of evolutionary algorithms named hybrid Taguchi genetic algorithms (HTGA) when they are applied to the design of a a new ultrawideband (UWB) thin-wire bow-tie antenna for GPR applications. The broadband performance of the antenna is achieved by resistive loading and by optimizing the number of wires and the angular distances between those wires.
Keywords :
Taguchi methods; bow-tie antennas; genetic algorithms; ground penetrating radar; radar antennas; ultra wideband antennas; wire antennas; GPR; broadband antenna performance; evolutionary optimization algorithm; hybrid Taguchi genetic algorithm; resistive loading; ultrawideband thin-wire bow-tie antenna; Genetic Algorithms; antenna design; ground penetrating radar; optimization techniques;
Conference_Titel :
Antennas and Propagation, 2007. EuCAP 2007. The Second European Conference on
Conference_Location :
Edinburgh
Print_ISBN :
978-0-86341-842-6
