现代电子技术Issue(1)：96-99,102,5.
基于CPS的建筑环境数据级检测融合方法
CPS-based fusion method for detection of data level in built environment
摘要
Abstract
For problem of CPS data level fusion reliability in built environment,the way of linear minimum variance estima⁃tion is used to improve the tradition adaptive weighted fusion algorithm,which not only reduces the mean square error,but also makes the fusion result more reliable. The amplitude limiting process should be carried out before data fusion,so as to deter⁃mine whether data is abnormal and allocate weighting factor of the abnormal data,which can improve the filtration ability of the data and ensure the reliability of the data fusion result. The simulation experiment indicated the effectiveness of the way.关键词
建筑环境/信息物理融合系统/数据级融合/自适应加权融合算法/线性最小方差/限幅滤波Key words
built environment/cyber-physical systems/data level fusion/adaptive weighted fusion algorithm/linear mini-mum variance/amplitude limiting filtering分类
信息技术与安全科学引用本文复制引用
陈浩男,马斌,王长涛,刘钊,溥博文..基于CPS的建筑环境数据级检测融合方法[J].现代电子技术,2015,(1):96-99,102,5.基金项目
国家自然科学基金项目（11142191）；住房和城乡建设部科技项目（2012-K8-33）；住房和城乡建设部科技项目 （）
