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| 基于主成分分析法的多传感器数据融合算法研究 | |
| 引用本文： | 童金武,黄廷磊,龙铁光,刘艳红. 基于主成分分析法的多传感器数据融合算法研究[J]. 单片机与嵌入式系统应用, 2013, 13(5): 17-20 |
| 作者姓名： | 童金武 黄廷磊 龙铁光 刘艳红 |
| 作者单位： | 1. 桂林电子科技大学电子工程与自动化学院,桂林,541004 2. 桂林电子科技大学计算机科学与工程学院 3. 中南大学 |
| 基金项目： | 国家自然科学基金资助:面向MRMC的无线移动Mesh网络自适应拓扑控制机制研究 |
| 摘 要： | 根据数理统计中的多元统计理论,用多个传感器对某一特性指标进行检测,将检测数据作为统计对象,提出了一种基于主成分分析的数据融合方法。该方法把各传感器的检测数据作为一个整体,定义总体的各主成分。通过计算测量值与主成分的复相关系数,给出了各传感器的综合支持程度和数据融合公式。实验表明,此方法比均值融合法更准确、有效。 |
| 关 键 词： | 主成分分析 多传感器 数据融合 |
Principal Component Analysis Based Research on Multi-sensor Fusion Algorithm |
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| Tong Jinwu , Huang Tinglei , Long Tieguang , Liu Yanhong. Principal Component Analysis Based Research on Multi-sensor Fusion Algorithm[J]. Microcontrollers & Embedded Systems, 2013, 13(5): 17-20 | |
| Authors: | Tong Jinwu Huang Tinglei Long Tieguang Liu Yanhong |
| Affiliation: | 1.School of Electronic Engineering and Automation,Guilin University of Electronic Technology,Guilin 541004,China; 2.School of Computer Science and Engineering,Guilin University of Electronic Technology;3.Central South University) |
| Abstract: | On the basis of multivariate statistical theory in mathematical statistics,using multiple sensors to detect one specific index,with the data obtained,we present a statistical fusion arithmetic based on principal component analysis.This method uses data obtained from multiple sensors as an ensemble and defines each principal component.The comprehensive support degree of each sensor and data fusion formulas were given by calculating complex correlation coefficient between data detected and the principal components.It was showed by experiments that the principal component fusion method owned much more accuracy and effectiveness compared to average fusion method. |
| Keywords: | principal component analysis multiple sensors data fusion |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |