Optimum Horn Antenna Design Based On an Integration of HFSS Commercial Code and Genetic Algorithms for the Feed Application of Reflector Antennas
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Optimum Horn Antenna Design Based On an Integration of HFSS Commercial Code and Genetic Algorithms for the Feed Application of Reflector AntennasAbstract
The optimum design of horn antennas for the application as feeds to reflector antennas is performed utilizing a simulation tool based on an integration of HFSS commercial code as an electromagnetic computational engine and an add-on optimization scheme of genetic algorithm. This work is motivated by the need of antenna operations at multiband frequencies, where the horn antennas tend to radiate narrower beams at higher frequencies and result in inefficient uses of the reflector surface since the narrow beams will illuminate only a portion of the reflector surface. Optimum design of the horn antenna may significantly increase efficiency. The philosophy of this work is based on a fact that the currently available commercial codes are reliable and relatively accurate in the analysis with more efforts tending to enhance the computational efficiency. The quality of the antenna design will mainly rely on an effective optimization algorithm that can be and should be developed independently according to engineers’ own need, since the variables and cost functions for optimization can be flexibly selected. The integration of existing analysis codes, as mentioned above, and self-developed algorithms will be most effective for an engineer in the customized antenna design. The concepts and strategies are addressed with numerical examples to validate.
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