Data fusion over network

Author

Yuanqing Xia ; Jizong Shang ; Jie Chen ; Guoping Liu

Author_Institution

Dept. of Autom. Control, Beijing Inst. of Technol., Beijing

fYear

2008

fDate

16-18 July 2008

Firstpage

452

Lastpage

456

Abstract

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.

Keywords

Kalman filters; sensor fusion; Kalman filter; data processing center; federated filter; location filters; network delay; networked multisensor data fusion method; packet losses; sufficient conditions; Communication networks; Data processing; Delay; Filters; Internet; Remote monitoring; Sensor fusion; Signal processing; Stability; Sufficient conditions; Data fusion; Federated filter; Kalman filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2008. CCC 2008. 27th Chinese

Conference_Location

Kunming

Print_ISBN

978-7-900719-70-6

Electronic_ISBN

978-7-900719-70-6

Type

conf

DOI

10.1109/CHICC.2008.4605439

Filename

4605439