| 一种新型的简化群优化粒子滤波算法 |
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| 引用本文： | 张义群,林培杰,程树英. 一种新型的简化群优化粒子滤波算法[J]. 福州大学学报(自然科学版), 2017, 45(1): 102-107 |
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| 作者姓名： | 张义群 林培杰 程树英 |
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| 作者单位： | 福州大学 物理与信息工程学院,福州大学 物理与信息工程学院,福州大学 物理与信息工程学院 |
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| 基金项目： | 国家自然科学基金项目(61574038)，福建省科技厅工业引导性重点项目(2015H0021)，福建教育厅资助省属高校项目（JK2014003） |
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| 摘 要： | 针对粒子滤波的粒子退化和贫化问题,将新兴的简化群优化(SSO)算法引入到粒子滤波的重采样阶段.SSO算法结构简单,在保留优良粒子的基础上,增加一项粒子随机运动过程,以提供粒子多样性.实验结果表明,新算法不仅有效提高了对非线性系统状态的估计精度,而且具有更高的运算速度.
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| 关 键 词： | 粒子滤波 简化群优化 粒子群优化 重采样 粒子退化 |
A new particle filter algorithm based on simplified swarm optimization |
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| ZHANG Yiqun,LIN Peijie and CHENG Shuying. A new particle filter algorithm based on simplified swarm optimization[J]. Journal of Fuzhou University(Natural Science Edition), 2017, 45(1): 102-107 |
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| Authors: | ZHANG Yiqun LIN Peijie CHENG Shuying |
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| Affiliation: | College of Physics and Information Engineering,Fuzhou University,Fuzhou,College of Physics and Information Engineering,Fuzhou University,Fuzhou,College of Physics and Information Engineering,Fuzhou University,Fuzhou |
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| Abstract: | A new particle filter based on the simplified swarm optimization (called SSO-PF) is proposed for solving the degeneracy and impoverishment problem in the particle filter. The proposed algorithm uses the emerging SSO that is simple as the resampling stage of particle filter. A random movement is added to SSO to maintain particles diversity and enhance the capacity of escaping from a local optimum on the basis of retaining the superior particles, which guide particles to move around the posterior density distribution of the particles'' true state. Experimental results show that the proposed algorithm not only effectively boosts the estimation accuracy of the nonlinear system state, but also has a higher computing speed. |
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| Keywords: | particle filter simplified swarm optimization particle swarm optimization resampling particle degeneracy |
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