THE MULTI-OBJECTIVE OPTIMIZATION OF NON-UNIFORM LINEAR PHASED ARRAYS USING THE GENETIC ALGORITHM | Zendy

Fikret Tokan | Zendy; Filiz Güneş | Zendy

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THE MULTI-OBJECTIVE OPTIMIZATION OF NON-UNIFORM LINEAR PHASED ARRAYS USING THE GENETIC ALGORITHM

Author(s) -

Fikret Tokan,

Filiz Güneş

Publication year - 2009

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/pierb09072309

Subject(s) - interference (communication) , genetic algorithm , phased array , multi objective optimization , computer science , antenna (radio) , mathematical optimization , pareto principle , beam pattern , antenna array , algorithm , mathematics , telecommunications , channel (broadcasting)

In this article, a linear phased antenna array for beam scanning is considered with a flxed narrow/broad interference out of the scanning region. This interference is aimed to be suppressed by optimizing the positions of array elements while avoiding the rise of maximum sidelobe level (MSLL) during the main beam is scanning within the prescribed region. These two objectives; suppressing the flxed interference and avoiding the rise of MSLL during scanning are in con∞ict with one another. In order to evaluate the efiectiveness of such multi-objective approaches it is important to report Pareto optimal solutions which are the objective way of solving multi-objective optimization problems. Thus, in this work, the genetic algorithm (GA) is introduced for the purpose of obtaining the Pareto optimal fronts for the two con∞icting objectives to show the efiectiveness of the proposed method.

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