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