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
Link To Document :
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