提高测量可靠性的多传感器数据融合有偏估计方法
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....
Saved in:
| Published in | 自动化学报 Vol. 40; no. 9; pp. 1843 - 1852 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
中国石油大学 北京 自动化系 北京 102249
2014
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0254-4156 1874-1029 |
| DOI | 10.3724/SP.J.1004.2014.01843 |
Cover
| Summary: | 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. |
|---|---|
| Bibliography: | YUE Yuan-Long ZUO Xin LUO Xiong-Lin（ 1. Department of Automation, China University of Petroleum, Beijing 102249） The multi-sensor data fusion method is widely adopted in the process control community to improve the reliability of measured data. Based on the idea that biased estimation can reduce the variance of least square estimation, a multi-sensor biased estimation data fusion method is proposed to improve the measurement reliability. Firstly, biased measurement is presented based on ridge estimation, and a quantitative description method evaluating the reliability of the measurement data is proposed. The biased measurement reliability superior to the unbiased one is also verified. Secondly, a multi-sensor biased estimation data fusion scheme, which synthesizes the merits of the biased measurement and multi-sensor data fusion, is proposed, and the conclusion that is proven to decentralized unbiased estimation data fusion is equal to the centralized one is proved. Thirdly, the proposed fusion method is prove |
| ISSN: | 0254-4156 1874-1029 |
| DOI: | 10.3724/SP.J.1004.2014.01843 |