DocumentCode :
2075452
Title :
Beam Shaping for Satellite Phased Array Antenna Using Dual Coding Genetic Algorithm
Author :
Zhao, Hongmei ; Xie, Zehui ; Wang, Huali ; Jin, Jun
Author_Institution :
Sch. of Electr. & Inf. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou, China
fYear :
2009
fDate :
24-26 Sept. 2009
Firstpage :
1
Lastpage :
4
Abstract :
A transmitting beam shaping scheme with limited amplitude weighted values for satellite active phased array antenna is presented to meet lower sidelobe and higher power amplifiers efficiency. The scheme is implemented by a dual coding genetic algorithm (GA) .Phase and amplitude of array weight vectors for shaped beam are encoded by real coding and finite length binary coding, which, maintaining accuracy of results, reduces the amplitude dynamic range and improves the efficiency of power amplifiers. The presented algorithm, compared to complex-coded GA, increases the convergence rate due to the search space\´s decrease. In order to overcome the prematurity and obtain better global optimization or quasi-global optimization, a new dual coding GA based on "species diversity retention" strategy and adaptive crossover and mutation probability is presented.
Keywords :
antenna phased arrays; binary codes; convergence; dual codes; genetic algorithms; power amplifiers; probability; satellite antennas; search problems; adaptive crossover; array weight vectors; convergence rate; dual coding genetic algorithm; finite length binary coding; mutation probability; power amplifiers efficiency; quasi-global optimization; satellite active phased array antenna; search space; species diversity retention strategy; transmitting beam shaping scheme; Antenna arrays; Convergence; Dynamic range; Genetic algorithms; Genetic mutations; High power amplifiers; Phased arrays; Power amplifiers; Satellite antennas; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
Type :
conf
DOI :
10.1109/WICOM.2009.5301129
Filename :
5301129
Link To Document :
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