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提高测量可靠性的多传感器数据融合有偏估计方法

岳元龙 左信 罗雄麟

岳元龙, 左信, 罗雄麟. 提高测量可靠性的多传感器数据融合有偏估计方法. 自动化学报, 2014, 40(9): 1843-1852. doi: 10.3724/SP.J.1004.2014.01843
引用本文: 岳元龙, 左信, 罗雄麟. 提高测量可靠性的多传感器数据融合有偏估计方法. 自动化学报, 2014, 40(9): 1843-1852. doi: 10.3724/SP.J.1004.2014.01843
YUE Yuan-Long, ZUO Xin, LUO Xiong-Lin. Improving Measurement Reliability with Biased Estimation for Multi-sensor Data Fusion. ACTA AUTOMATICA SINICA, 2014, 40(9): 1843-1852. doi: 10.3724/SP.J.1004.2014.01843
Citation: YUE Yuan-Long, ZUO Xin, LUO Xiong-Lin. Improving Measurement Reliability with Biased Estimation for Multi-sensor Data Fusion. ACTA AUTOMATICA SINICA, 2014, 40(9): 1843-1852. doi: 10.3724/SP.J.1004.2014.01843

提高测量可靠性的多传感器数据融合有偏估计方法

doi: 10.3724/SP.J.1004.2014.01843
基金项目: 

国家重点基础研究发展计划(973计划)(2012CB720500),国家自然科学基金(21006127,61104218),中国石油大学(北京)科研基金资助项目(YJRC-2013-12)资助

详细信息
    作者简介:

    岳元龙 中国石油大学(北京)自动化系博士生.主要研究方向为测量、估计与可靠性.

    通讯作者:

    罗雄麟 中国石油大学(北京)自动化系教授.主要研究方向为过程控制与实时优化,机器学习与智能控制,预测控制,过程系统工程.本文通信作者.E-mail:luoxl@cup.edu.cn

Improving Measurement Reliability with Biased Estimation for Multi-sensor Data Fusion

Funds: 

Supported by the National Basic Research Program of China (973 Program) (2012CB720500), National Natural Science Foundation of China (21006127, 61104218), and the Science Foundation of China University of Petroleum (YJRC-2013-12)

  • 摘要: 为了提高测量数据可靠性,多传感器数据融合在过程控制领域得到了广泛应用. 本文基于有偏估计能够减小最小二乘无偏估计方差的思想,提出采用多传感器有偏估计数据融合改善测量数据可靠性的方法. 首先,基于岭估计提出了有偏测量过程,并给出了测量数据可靠性定量表示方法,同时证明了有偏测量可靠度优于无偏测量可靠度. 其次,提出了多传感器有偏估计数据融合方法,证明了现有集中式与分布式无偏估计数据融合之间的等价性. 最后,证明了多传感器有偏估计数据融合收敛于无偏估计数据融合. 实例应用验证了方法的有效性.
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出版历程
  • 收稿日期:  2013-05-31
  • 修回日期:  2014-02-26
  • 刊出日期:  2014-09-20

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