Title :
Genetic algorithm optimization of a corrugated conical horn antenna
Author :
Yang, Dooyeong ; Chung, You Chung ; Haupt, Randy
Author_Institution :
Telecom. & Comput. Eng, Cheju Nat. Univ., South Korea
Abstract :
This paper presents a design procedure for a wideband corrugated multi-sectional conical horn using a genetic algorithm (GA). The GA optimizes the length, number of sections, flare angles, and depth of the first slot in each horn section in order to match the admittance, reduce the voltage standing wave ratio (VSWR), and generate the desired copolarization and cross-polarization patterns. A VSWR < 1.6 is obtained from 11 GHz to 18 GHz.
Keywords :
antenna theory; broadband antennas; conical antennas; electric admittance; genetic algorithms; horn antennas; impedance matching; 11 to 18 GHz; GA; VSWR reduction; admittance matching; copolarization pattern; corrugated conical horn antenna; cross-polarization pattern; first slot depth; flare angles; genetic algorithm; length optimization; optimization; section number; voltage standing wave ratio; wideband multi-sectional horn; Admittance; Antenna feeds; Antenna theory; Biological cells; Equations; Genetic algorithms; Horn antennas; Polynomials; Reflector antennas; Telecommunication computing;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2002. IEEE
Print_ISBN :
0-7803-7330-8
DOI :
10.1109/APS.2002.1016318
