| 一种基于小生境技术的群智能粒子滤波算法 |
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| 引用本文： | 刘云龙,林宝军.一种基于小生境技术的群智能粒子滤波算法[J].控制与决策,2010,25(2):316-320. |
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| 作者姓名： | 刘云龙 林宝军 |
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| 作者单位： | 1. 中国科学院光电研究院，北京100190；2．中国科学院研究生院，北京100049
2. 中国科学院光电研究院,北京,100190 |
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| 摘 要： | 针对基本粒子滤波存在严重的退化问题和重采样技术导致粒子枯竭的问题,提出一种新型粒子滤波算法——基于小生境技术的群智能优化粒子滤波算法.通过多模寻优增强粒子的多样性和寻优能力,使得采样后的粒子向高似然区域移动,从而有效地提高了系统状态估计精度.仿真实验表明,该算法是有效而稳定的.
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| 关 键 词： | 粒子滤波 粒子群优化 小生境技术 |
| 收稿时间： | 2009/3/16 0:00:00 |
| 修稿时间： | 2009/7/2 0:00:00 |
Swarm intelligence particle filtering based on niching technique |
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| LIU Yun-long,LIN Bao-jun.Swarm intelligence particle filtering based on niching technique[J].Control and Decision,2010,25(2):316-320. |
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| Authors: | LIU Yun-long LIN Bao-jun |
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| Affiliation: | 1.The Academy of Opto-electronics/a>;Chinese Academy of Sciences/a>;Beijing 100190/a>;China/a>;2.Graduate University of Chinese Academy of Sciences/a>;Beijing 100049/a>;China. |
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| Abstract: | For the problem that serious weight degeneracy based on particle filtering and re-sampling leads to the sample impoverishment,a new particle filtering algorithm is proposed,which utilizes niching swarm intelligence algorithm for optimizing particle filtering. By multi-modal optimization,particles diversity and search ability are both enhanced. As a result,particles can move towards the high likelihood areas,which can increase the precision of system state estimation. Simulation results show that the propose... |
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| Keywords: | Particle filtering Particle swarm optimization Niching technique |
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