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Orthogonal Genetic Algorithm for Planar Thinned Array Designs
oleh: Li Zhang, Yong-Chang Jiao, Bo Chen, Hong Li
Format: | Article |
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Diterbitkan: | Hindawi Limited 2012-01-01 |
Deskripsi
An orthogonal genetic algorithm (OGA) is applied to optimize the planar thinned array with a minimum peak sidelobe level. The method is a genetic algorithm based on orthogonal design. A crossover operator formed by the orthogonal array and the factor analysis is employed to enhance the genetic algorithm for optimization. In order to evaluate the performance of the OGA, 20×10-element planar thinned arrays have been designed to minimize peak sidelobe level. The optimization results by the OGA are better than the previously published results.