scholarly journals SYNTHESIS OF UNEQUALLY SPACED ANTENNA ARRAYS BY USING INHERITANCE LEARNING PARTICLE SWARM OPTIMIZATION

2011 ◽  
Vol 118 ◽  
pp. 205-221 ◽  
Author(s):  
Dong Liu ◽  
Quanyuan Feng ◽  
Wei-Bo Wang ◽  
Xiao Yu
Author(s):  
Huijun Deng ◽  
Xue Li ◽  
Libao Sun ◽  
Shiyou Yang

Purpose – The aim of this paper is to explore the potential of particle swarm optimization (PSO) methods for minimizing the sidelobe levels (SLL) and placing null at arbitrary angles of a nonlinear antenna array. Design/methodology/approach – An improved PSO algorithm is designed. Findings – The improved PSO method is an efficient and robust global optimizer for minimizing the SLL and placing null at arbitrary angles of a nonlinear antenna array. Originality/value – Some improvements, such as the design of some new formulae for both position and velocity updating, the introduction of an age variable, and the devise of an intensification searches using the cross entropy method, are proposed.


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