Archivio Istituzionale della RicercaThe 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 / B. V., Ha; R. E., Zich; M., Mussetta; Pirinoli, Paola. - (2014), pp. 1956-1957. (Intervento presentato al convegno 2014 IEEE Antennas and Propagation Society International Symposium (APSURSI) tenutosi a Memphis, Tennessee nel 6-11 July 2014) [10.1109/APS.2014.6905305].
Thinned array optimization by means of M-cGA
PIRINOLI, Paola
2014
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.
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https://hdl.handle.net/11583/2604961
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