改进粒子群算法及其在共形相控阵综合中的应用

Abstract

Abstract:

By means of introducing such improved techniques as velocity updating, exceeding boundary control, perturbation of the global best particle, a new improved particle swarm optimization (IPSO) algorithm is proposed, which is further combined with the simplified quadratic interpolation method to overcome the drawbacks of the standard particle swarm optimization (PSO) algorithm, such as slow convergence, prematurity and easily trapping in local optimum. A modified Bernstein polynomial is used to reduce the number of variables when calculating the pattern function of the spherical conformal array. Simulation results show that the pinpointing search ability and the global search ability of the proposed algorithm are significantly improved compared with the standard particle swarm optimization and genetic algorithm (GA), thus proving the effectiveness of the proposed algorithm for antenna synthesis.

Key words: conformal antennas, particle swarm optimization (PSO), pattern synthesis, simplified quadratic interpolation (SQI)

CLC Number:

TN820

LI Wen-tao;LIU Shu-fang;SHI Xiao-wei;HEI Yong-qiang. Improved particle swarm optimization and its application for conformal array pattern synthesis[J].J4, 2009, 36(5): 835-840.

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Improved particle swarm optimization and its application for conformal array pattern synthesis

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