Design of microwave filters based on Particle Swarm Optimization algorithm

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (12): 95-97.

• 研发、设计、测试 • Previous Articles Next Articles

Design of microwave filters based on Particle Swarm Optimization algorithm

ZHAO Xiao-dong,WANG Gang

Department of Telecommunication Engineering，Jiangsu University，Zhenjiang，Jiangsu 212013，China

Received:2007-08-28 Revised:2007-11-21 Online:2008-04-21 Published:2008-04-21
Contact: ZHAO Xiao-dong

基于粒子群优化算法的微波滤波器设计

赵晓东,王刚

江苏大学通信工程系，江苏镇江 212013

通讯作者: 赵晓东

Abstract

Abstract: After a brief introduction to the Particle Swarm Optimization（PSO） algorithm，generalized Chebyshev microwave filters with transmission zeroes for base-station application is analyzed and optimized with PSO to obtain the final practical coupling matrix.The polarity of appendix coupling in the filter is further analyzed by using a phase relation model.Finally，an eight-pole coaxial SCDMA base-station filter is designed，fabricated and measured.The simulation result and the measurement coincide very well.

Key words: Particle Swarm Optimization（PSO）, cross-coupling, coaxial cavity-filter, coupling matrix

摘要： 介绍了粒子群优化算法的基本原理，并讨论了其在带传输零点的广义Chebyshev微波滤波器设计中的应用，得到了耦合矩阵的实际形式。利用耦合相位关系模型分析出附加耦合的极性，以决定零点的分布。最后利用仿真软件建立了一个八阶同轴腔基站滤波器模型并加工生产，实际测试与理论结果吻合较好。

关键词: 粒子群算法, 交叉耦合, 同轴腔体滤波器, 耦合矩阵

ZHAO Xiao-dong,WANG Gang. Design of microwave filters based on Particle Swarm Optimization algorithm[J]. Computer Engineering and Applications, 2008, 44(12): 95-97.

赵晓东,王刚. 基于粒子群优化算法的微波滤波器设计[J]. 计算机工程与应用, 2008, 44(12): 95-97.

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Design of microwave filters based on Particle Swarm Optimization algorithm

基于粒子群优化算法的微波滤波器设计

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