[1]张素智,杨 芮,陈小妮.基于独立区域划分和压缩感知的数据融合方法[J].计算机技术与发展,2019,29(08):63-66.[doi:10. 3969 / j. issn. 1673-629X. 2019. 08. 012]
　ZHANG Su-zhi,YANG Rui,CHEN Xiao-ni.Data Fusion Method Based on Independent Region Division and Compressed Sensing[J].,2019,29(08):63-66.[doi:10. 3969 / j. issn. 1673-629X. 2019. 08. 012]
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基于独立区域划分和压缩感知的数据融合方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年08期
页码:
63-66
栏目:
智能、算法、系统工程
出版日期:
2019-08-10

文章信息/Info

Title:
Data Fusion Method Based on Independent Region Division and Compressed Sensing
文章编号:
1673-629X(2019)08-0063-04
作者:
张素智; 杨 芮; 陈小妮
郑州轻工业学院 计算机与通信工程学院,河南 郑州 450001
Author(s):
ZHANG Su-zhi; YANG Rui; CHEN Xiao-ni
School of Computer and Communication Engineering,Zhengzhou University of Light Industry,Zhengzhou 450001,China
关键词:
数据融合; 压缩感知; 区域划分; 负载均衡; 信息熵
Keywords:
data fusion; compressed sensing; region division; load balancing; information entropy
分类号:
TP311
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 08. 012
摘要:
数据融合是将传感器中的信息按一定准则进行综合整理,从而获得对目标的一致性描述。压缩感知(compressed sensing,CS)技术能利用更少的数据和合适的重构方法得到更精确的原始信号。针对传统数据融合方法不能有效、精确地处理海量的数据,导致融合效果不理想的问题,为提高数据融合的效率和融合效果,根据压缩感知理论的特点,提出了一种基于独立区域划分和压缩感知的数据融合方法。该方法运用压缩感知理论对数据进行采样以获得测量值,并通过独立数据区域划分和负载均衡方法对样本数据进行划分从而形成联合区域。计算了互信息融合权重系数,根据压缩感知系数重构方法获取融合后的数据。仿真实验结果表明,对比传统的数据融合方法,该方法具有较好的稳定性和融合效果。
Abstract:
Data fusion is to synthesize the information in the sensor according to certain criteria,so as to obtain a consistent description of the target. Compressed sensing (CS) technology can use less data and appropriate reconstruction methods to get more accurate original signals. Traditional data fusion methods cannot effectively and accurately process massive amounts of data,resulting in unsatisfactory fusion effect. In order to improve the efficiency and effect of data fusion,a data fusion method based on independent data region division and compression sensing is proposed according to compression sensing theory. The method uses the CS theory to sample the data to obtain the measured values,and divides the sample data by independent data region partitioning and load balancing method to form a joint region. The mutual information fusion weight coefficient is calculated,and the fused data is obtained according to the compressed sensing coefficient reconstruction method. The simulation shows that compared with the traditional data fusion method,the proposed method has better stability and fusion effect.

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更新日期/Last Update: 2019-08-10