DocumentCode :
188301
Title :
The Research of Pattern Synthesis of Linear Antenna Array Based on Seeker Optimization Algorithm
Author :
Bing Wang ; Chao Liu ; Huaning Wu
Author_Institution :
Dept. of Commun. Eng., Naval Univ. of Eng., Wuhan, China
fYear :
2014
fDate :
13-15 Oct. 2014
Firstpage :
420
Lastpage :
424
Abstract :
The Seeker Optimization Algorithm (SOA) is adopted to optimize the pattern synthesis of linear antenna array and the conjugate gradient method is introduced to improve the local search ability of SOA algorithm. The side lobe level, the null depth and the pattern notches of the 20 element linear array pattern are optimized. The results are compared with the data obtained by Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Compared with the original SOA, GA and PSO, the proposed SOA has better performance.
Keywords :
conjugate gradient methods; genetic algorithms; linear antenna arrays; particle swarm optimisation; search problems; GA; PSO; SOA; conjugate gradient method; genetic algorithm; linear antenna array pattern synthesis; local search ability; particle swarm optimization; seeker optimization algorithm; side lobe level; Arrays; Equations; Linear programming; Mathematical model; Optimization; Search problems; Semiconductor optical amplifiers; array antennas; pattern; seeker optimization algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-6235-8
Type :
conf
DOI :
10.1109/CyberC.2014.79
Filename :
6984343
Link To Document :
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