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基于改进模糊聚类的同构多传感器在线数据融合方法
Alternative TitleOnline Data Fusion Method for Homogeneous Multi-sensors Based on Advanced Fuzzy Clustering
苏卫星; 朱云龙; 刘芳; 马连博
Department信息服务与智能控制技术研究室
Source Publication信息与控制
ISSN1002-0411
2015
Volume44Issue:5Pages:557-563
Indexed ByCSCD
CSCD IDCSCD:5573260
Contribution Rank1
Funding Organization国家科技支撑计划资助项目( 2014BAF07B01) ; 国家自然科学基金资助项目( 61203161,51205389) ; 辽宁省自然科学基金资助项目( 201202226)
Keyword鲁棒模糊聚类 模糊c均值聚类 多传感器 数据融合
Abstract针对同构多传感器系统在无先验知识、无系统模型条件下对同一未知目标进行在线测量过程中的数据融合问题,提出一种基于改进模糊聚类的同构多传感器在线融合方法.该方法采用引入噪声类的鲁棒模糊聚类方法分析同时刻多源数据,避免了传统模糊聚类融合方法中对聚类数设定的依赖,同时有效去除系统偏移较大的数据源和异常信号对融合结果的不良影响;通过引入隶属度函数影响因子,增加历史融合结果对当前融合的指导.仿真实验进一步验证所提方法在融合精度和计算实时性方面的优势.
Other AbstractIn order to deal with the problem of multi-sources data fusion for a homogeneous multi-sensor system during the online measurement of an unknown target without prior knowledge or system model,this paper proposes a new fusion method based on advanced fuzzy clustering. The method utilizes the robust fuzzy clustering, which includes a noise cluster besides the normal clusters,to process the multi-sources data with the some timestamp. It avoids the disadvantage of traditional FCM-clustering-based data fusion method on selecting the number of the clusters,and can remove the ill effects of both the data sources with large system drift and the abnormal signals to the fusion result. Furthermore,an impact factor for membership function is added to guide the current fusion process by historical fusion results. The simulation results verifies the advantages of the proposed method on accuracy and real-timeness.
Language中文
Citation statistics
Cited Times:4[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/17426
Collection信息服务与智能控制技术研究室
Affiliation1.中国科学院沈阳自动化研究所
2.中国科学院大学
3.华晨汽车工程研究院
Recommended Citation
GB/T 7714
苏卫星,朱云龙,刘芳,等. 基于改进模糊聚类的同构多传感器在线数据融合方法[J]. 信息与控制,2015,44(5):557-563.
APA 苏卫星,朱云龙,刘芳,&马连博.(2015).基于改进模糊聚类的同构多传感器在线数据融合方法.信息与控制,44(5),557-563.
MLA 苏卫星,et al."基于改进模糊聚类的同构多传感器在线数据融合方法".信息与控制 44.5(2015):557-563.
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