| 一种基于不确定分析的多传感器信息动态融合方法 |
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| 引用本文： | 罗本成,原魁,陈晋龙,朱海兵.一种基于不确定分析的多传感器信息动态融合方法[J].自动化学报,2004,30(3):407-415. |
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| 作者姓名： | 罗本成 原魁 陈晋龙 朱海兵 |
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| 作者单位： | 1.中国科学院自动化研究所高技术创新中心,北京 |
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| 基金项目： | 国家“863”高技术研究发展计划(2001AA422200)资助项目~~ |
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| 摘 要： | 提出了一种基于不确定分析的多传感器动态分布融合方法.首先引入贴近度的概念对
传感器进行动态聚类,接着基于兼容测度实现了组内传感器信息的最优Bayesian估计融合;最
后给出了一种基于一致测度的多传感器信息动态融合的方法.通过实验对比分析,证实了此方
法具有较好的实效性和鲁棒性.
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| 关 键 词： | 不确定分析 格贴近度 动态多传感器信息融合 最优Bayesian估计融合 |
| 收稿时间： | 2003-5-13 |
| 修稿时间： | 2003年5月13日 |
Uncertainty Analysis Based Dynamic Multi-Sensor Data Fusion |
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| LUO Ben-Cheng,YUAN Kui,CHEN Jin-Long,ZHU Hai-Bing.Uncertainty Analysis Based Dynamic Multi-Sensor Data Fusion[J].Acta Automatica Sinica,2004,30(3):407-415. |
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| Authors: | LUO Ben-Cheng YUAN Kui CHEN Jin-Long ZHU Hai-Bing |
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| Affiliation: | 1.Institute of Automation,Chinese Academy of Sciences,Beijing |
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| Abstract: | The problem of modeling multi-sensor data fusion system under uncertainty is discussed. Taking advantage of the measure of relative proximity in terms of uncertainty, the authors firstly implement multi-sensor dynamic clustering. Based on Bayesian estimation technology and the measure of compatibility, an optimal fusion paradigm for multi-sensors data fusion in the same group is presented. By examining the mutual im-pact of sensor groups based on the measure of confidence, a novel model for dynamic multi-sensor fusion system is described. The efficient fusion of data from different sources enables the system to respond promptly to the uncertain environment. Finally, experiments demonstrate the model is of higher sensitivity and practicability,especially in uncertain environment for intelligent systems. |
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| Keywords: | Uncertainty analysis measure of relative proximity dynamic multi-sensor data fusion optimal Bayesian estimation fusion |
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