DocumentCode
2571853
Title
Optimizing appropriate two probable Value method by adaptive genetic algorithm
Author
Pan, Caijun ; Cao, Shiqi ; Zheng, Kai ; He, Zhiming
Author_Institution
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2012
fDate
19-21 Oct. 2012
Firstpage
171
Lastpage
173
Abstract
Phased array antenna uses phase shifters to change the beam direction, thereby introducing the periodic quantization lobe,and raising the peak sidelobe level. The appropriate two probable Value (A2PV) can effectively suppress the parasitic lobe. But the A2PV method result is an average optimum of a statistical sense. The peak sidelobe is random and has large variance. This paper introduces the adaptive genetic algorithm(AGA) to optimize the A2PV result. It can effectively suppress the parasitic sidelobes, reduce the peak sidelobe, and determine the scanning wave control code. The simulation results show that AGA can achieve a stable and better feed distribution.
Keywords
antenna phased arrays; beam steering; genetic algorithms; phase shifters; probability; A2PV method; A2PV result; adaptive genetic algorithm; beam direction; crossover probability; feed distribution; mutation probability; parasitic lobe; parasitic sidelobe suppression; peak sidelobe level; peak sidelobe reduction; periodic quantization lobe; phase shifter; phased array antenna; scanning wave control code; two probable value method; Adaptive arrays; Arrays; Genetic algorithms; Quantization; Sociology; Statistics; adaptive genetic algorithm; appropriate two possible values method; phased array antenna; quantization lobe;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Problem-Solving (ICCP), 2012 International Conference on
Conference_Location
Leshan
Print_ISBN
978-1-4673-1696-5
Electronic_ISBN
978-1-4673-1695-8
Type
conf
DOI
10.1109/ICCPS.2012.6384285
Filename
6384285
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