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

By F. Tokan and F. Gunes

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Abstract:
In this article, a linear phased antenna array for beam scanning is considered with a fixed 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 fixed interference and avoiding the rise of MSLL during scanning are in conflict with one another. In order to evaluate the effectiveness 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 conflicting objectives to show the effectiveness of the proposed method.

Citation:
F. Tokan and F. Gunes, "The Multi-Objective Optimization of Non-Uniform Linear Phased Arrays Using the Genetic Algorithm," Progress In Electromagnetics Research B, Vol. 17, 135-151, 2009.
doi:10.2528/PIERB09072309

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