Orthogonal Genetic Algorithm for Planar Thinned Array Designs

oleh: Li Zhang, Yong-Chang Jiao, Bo Chen, Hong Li

Format: Article
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.