| 基于粒子群优化的数字多频陷波滤波器设计 |
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| 引用本文： | 王秋生,杨浩,袁海文.基于粒子群优化的数字多频陷波滤波器设计[J].仪器仪表学报,2012,33(7):1661-1667. |
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| 作者姓名： | 王秋生 杨浩 袁海文 |
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| 作者单位： | 北京航空航天大学自动化科学与电气工程学院 北京100191 |
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| 基金项目： | 国家自然科学基金(60504023);西部交通科技建设项目(2009318000025)资助 |
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| 摘 要： | 数字多频陷波滤波器用于同时滤除或抑制数字信号中的多个频率分量,粒子群优化是模拟鸟群迁徙行为的元启发式搜索方法.以改进的粒子群优化算法为基础,提出了数字多频陷波滤波器的设计方法,它通过优化配置陷波系统的极点位置,实现了具有稳定特性的陷波系统的优化设计.所提设计方法的有效性和实用性,得到了一系列仿真实验的具体验证.
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| 关 键 词： | 数字滤波器 陷波滤波器 粒子群优化 |
Digital multiple notch filter design based on particle swarm optimization |
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| Wang Qiusheng
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Yang Hao
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Yuan Haiwen.Digital multiple notch filter design based on particle swarm optimization[J].Chinese Journal of Scientific Instrument,2012,33(7):1661-1667. |
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| Authors: | Wang Qiusheng Yang Hao Yuan Haiwen |
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| Affiliation: | (School of Automation Science and Electrical Engineering,Beihang University,Beijing 100191,China) |
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| Abstract: | Digital multiple notch filter can eliminate or suppress multiple sinusoidal components in a digital signal simultaneously.Particle swarm optimization(PSO) is a metaheuristic searching tool that mimics the migrating behavior of birds.A novel design approach of digital multiple notch filter is proposed based on particle swarm optimization.Through optimal pole placement,this method can realize the optimized design of notch filters with stable characteristics.The effectiveness and practicability of the presented method are verified with a series of simulation experiments. |
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| Keywords: | digital filter notch filter particle swarm optimization(PSO) |
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