传感技术学报Issue(8)：1239-1243,5.DOI:10.3969/j.issn.1004-1699.2015.08.023
一种改进的多无线传感器数据分批估计自适应加权融合算法
An Improved Multiple Wireless Sensor Data Batch Estimation Adaptive Weighted Fusion Algorithm
摘要
Abstract
To solve multiple wireless sensor monitoring data fusion in greenhouses the problem of low precision ,this paper proposes a modified batch estimation adaptive weighted fusion algorithm. Firstly,the algorithm based on the allowable threshold function eliminate a large error data,which collected over by the wireless temperature sensor within a period of time,then,batch estimate these processed data to derive optimal estimation of the value of the node,after this optimal estimate of all wireless temperature sensor nodes in the region,according to the principle of optimal allocation of weights to adaptive weighted fusion Within the group,finally,the algorithm calculates over the period of time the greenhouse temperature exact values. Through the experiment shows:compared with batch estima⁃tion algorithm and the traditional method of average value,this algorithm is easy to realize data fusion,the fusion value relative error is lower,better robustness.关键词
多无线传感器/数据融合/分批估计/自适应加权/容许函数Key words
wireless sensor/data fusion/batch estimation/adaptive weighted/admissible function分类
信息技术与安全科学引用本文复制引用
王华东,王大羽..一种改进的多无线传感器数据分批估计自适应加权融合算法[J].传感技术学报,2015,(8):1239-1243,5.基金项目
河南省基础与前沿技术研究项目 （）
