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题名:
An algorithm of weighted covariance for centralized asynchronous fusion based on Kalman
作者: Huang, Xi-Feng1,2; Wu, Qin-Zhang1
出版日期: 2012
会议名称: Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012
会议日期: 2012
DOI: 10.1109/ICICEE.2012.409
通讯作者: Huang, X.-F. (huangsixiao@l63.com)
中文摘要: This paper proposed an algorithm of weighted covariance for centralized asynchronous fusion based on Kalman(WCCAF). The algorithm makes linear minimum mean square error (LMMSE) as the criterion, and considers the relevance of measurement noise. In each fusion cycle the steps are: at first, filter the new measurement and predict the state to fusion time using kalman filter. And then, fuse the new predict state with the existing estimated state of this moment using the method of weighting the estimated state error covariance. WCCAF algorithm has high information utilization, and compared with existing algorithms, it has better fusion precision. Recursively computing function of WCCAF makes it has very good calculated efficiency and strong real-time performance. © 2012 IEEE.
英文摘要: This paper proposed an algorithm of weighted covariance for centralized asynchronous fusion based on Kalman(WCCAF). The algorithm makes linear minimum mean square error (LMMSE) as the criterion, and considers the relevance of measurement noise. In each fusion cycle the steps are: at first, filter the new measurement and predict the state to fusion time using kalman filter. And then, fuse the new predict state with the existing estimated state of this moment using the method of weighting the estimated state error covariance. WCCAF algorithm has high information utilization, and compared with existing algorithms, it has better fusion precision. Recursively computing function of WCCAF makes it has very good calculated efficiency and strong real-time performance. © 2012 IEEE.
收录类别: Ei
语种: 英语
文章类型: 会议论文
页码: 1554-1557
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.ioe.ac.cn/handle/181551/7543
Appears in Collections:光电探测技术研究室(三室)_会议论文

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作者单位: 1. Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, 610209, China
2. Academy of Sciences Graduate School, Chinese Academy of Sciences, Institute of Optics and Electronics, Chengdu, Sichuan, 610209, China

Recommended Citation:
Huang, Xi-Feng,Wu, Qin-Zhang. An algorithm of weighted covariance for centralized asynchronous fusion based on Kalman[C]. 见:Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012. 2012.
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