| 多传感器数据融合技术研究进展 |
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| 引用本文： | 黄漫国,樊尚春,郑德智,邢维巍.多传感器数据融合技术研究进展[J].传感器与微系统,2010,29(3). |
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| 作者姓名： | 黄漫国 樊尚春 郑德智 邢维巍 |
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| 作者单位： | |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 多传感器数据融合是信息领域一个前景广阔的研究方向.由于单一的数据融合算法具有一定的局限性,将2种或2种以上的数据融合算法进行优势集成已逐渐成为数据融合领域的研究热点.介绍了数据级、特征级和决策级融合3种数据融合方式的主要特点、方法及应用,归纳了常用的数据融合方法,并重点阐述了几种多传感器数据融合集成算法的研究进展,简单介绍了多传感器数据融合技术的应用.
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| 关 键 词： | 多传感器 数据融合 算法 集成 |
Research progress of multi-sensor data fusion technology |
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| HUANG Man-guo,FAN Shang-chun,ZHENG De-zhi,XING Wei-wei.Research progress of multi-sensor data fusion technology[J].Transducer and Microsystem Technology,2010,29(3). |
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| Authors: | HUANG Man-guo FAN Shang-chun ZHENG De-zhi XING Wei-wei |
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| Affiliation: | HUANG Man-guo1,2,FAN Shang-chun1,ZHENG De-zhi1,XING Wei-wei1(1.Key Laboratory of Precision Opto-mechanics Technology of Ministry of Education,Deptartment of Instrument Science & Opto-electronics Engineering,Beihang University,Beijing 100191,China,2.State Key Laboratories of Transducer Technology,Shanghai 200050,China) |
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| Abstract: | Multi-sensor data fusion is wide research branch in information field.As single data fusion algorithm always has some limitations,the integration of two or more data fusion algorithms is becoming a research interest.Advantages of data fusion are introduced;main characteristics,algorithms and applications of three data fusion model types(data level,characteristic level and decision level) are presented.Common data fusion algorithms are classified.Research developments of several data fusion integration algor... |
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| Keywords: | multi-sensor data fusion algorithms integration |
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