Data Fusion Over Network

被引：0
|
作者：
Xia Yuanqing [1 ]
Shang Jizong [1 ]
Chen Jie [1 ]
Liu Guoping [2 ]
机构：
[1] Beijing Inst Technol, Dept Automat Control, Beijing 100081, Peoples R China
[2] Univ Glamorgan, Fac Adv Technol, Pontypridd CF37 1DL, M Glam, Wales
来源：
PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 7 | 2008年
关键词：
Data fusion; Federated filter; Kalman filter;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new networked multi-sensor data fusion method which is based on Federated Filter is developed in this paper. The original system is far away form Data Processing Center (DPC), and measurements transmitted to DPC through network are used to produce a estimation of the measurement signal and Federated Filter is utilized to improve its accuracy. Due to the possible existence of both packet losses and network delay, it is necessary to check whether the Filter is stable, and consider how to process the delay data. Some sufficient conditions are presented for Kalman filter based Location Filters (LF) in the Federated Filter are stable, and a new method to process the delay data is developed here. Finally, an experiment is designed to show the effectiveness of the proposed scheme.
引用
收藏
页码：452 / +
页数：2
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