The synthesis of thinned arrays by means of optimization is presented in this paper using compact genetic algorithm (cGA). The optimization algorithm implements a probability vector to represent the population, which is suitable to apply to thinned array problem. Moreover, by introducing some modifications to the original cGA, the peak side-lobe level (PSLL) of the thinned array is well controlled. The effectiveness of the method is demonstrated by applying to various 200-element linear arrays and compared to literature reported results.

Thinned array optimization by means of M-cGA

ZICH, RICCARDO;MUSSETTA, MARCO;
2014-01-01

Abstract

The synthesis of thinned arrays by means of optimization is presented in this paper using compact genetic algorithm (cGA). The optimization algorithm implements a probability vector to represent the population, which is suitable to apply to thinned array problem. Moreover, by introducing some modifications to the original cGA, the peak side-lobe level (PSLL) of the thinned array is well controlled. The effectiveness of the method is demonstrated by applying to various 200-element linear arrays and compared to literature reported results.
IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
9781479935406
9781479935406
978-1-4799-3538-3
Electrical and Electronic Engineering
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/973833
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