粒子群算法在阵列天线方向图综合中的应用

doi:10.3969/j.issn.1001-2400.2011.03.029

Abstract

Abstract:

According to the prematurity and easy trapping in local optimum resulting from using Particle Swarm Optimization(PSO) in the pattern synthesis of antenna arrays with sidelobe reduction and nulls control, a mixed optimal algorithm(Chaotic PSO,CPSO) is proposed by fusing the advantages of both chaotic optimal algorithm and PSO algorithm. The new algorithm uses chaotic searching strategy within the neighborhood of the global best position to find a better solution when the swarm traps into stagnancy. The range of the chaotic searching region can be adaptively adjusted. To enhance the diversity of samples, several individuals are picked out as exemplars when the new global best position is updated in each dimension. Simulation results show that the algorithm can lead to a relatively high performance by applying CPSO in the pattern synthesis of antenna arrays.

CLC Number:

TP820.1

WANG Weibo；FENG Quanyuan. Application of PSO algorithm in pattern synthesis for antenna arrays[J].J4, 2011, 38(3): 175-180.

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Application of PSO algorithm in pattern synthesis for antenna arrays

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