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author:

张义群 (张义群.) [1] | 林培杰 (林培杰.) [2] | 程树英 (程树英.) [3]

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Abstract:

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.

Keyword:

简化群优化 粒子滤波 粒子群优化 粒子退化 重采样

Community:

  • [ 1 ] 福州大学物理与信息工程学院,福州大学微纳器件与太阳能电池研究所,福建福州350116

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Source :

福州大学学报:自然科学版

ISSN: 1000-2243

CN: 35-1337/N

Year: 2017

Issue: 1

Volume: 45

Page: 102-107

Cited Count:

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SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count: -1

30 Days PV: 0

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