Title: Synthesis of nonuniformly spaced arrays using genetic algorithm
Abstract: The application of a genetic algorithm to the design of nonuniformly spaced, linear arrays is presented. Looking for positioning of elements in large arrays for low sidelobe levels involves examining a huge number of possibilities, in order to find the best solution. A genetic algorithm, unlike many conventional optimization methods, can optimize such problems. In this paper the genetic algorithm is applied to find the element positions in the 48-element linear array with uniform excitation that produces minimum sidelobe level The comparison of the effectiveness of the proposed approach and the several traditional optimization algorithms is also presented.
Publication Year: 2002
Publication Date: 2002-11-27
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 7
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