State estimation with feedback information in a hybrid multisensor system

Author

Shao-Long, Ren ; You, He ; Wei, Xiong

Author_Institution

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

fYear

2001

fDate

2001

Firstpage

723

Lastpage

727

Abstract

In order to improve the tracking performance of sensors, this paper addresses the issue of optimal state estimation in a hybrid multisensor data fusion system with feedback information for similar and dissimilar synchronous sensors. In this system, part of the sensors process their data locally to produce local tracks while another part of the sensors only provide detection reports. These tracks and detection reports are communicated to a central site where track fusion and state estimation are performed. The fusion results are then returned to some sensors, so that the tracking performance of the sensors might be improved

Keywords

Kalman filters; feedback; filtering theory; radar signal processing; radar tracking; sensor fusion; state estimation; Kalman filter; central communication site; detection reports; dissimilar synchronous sensors; feedback information; hybrid multisensor data fusion system; local data processing; local tracks; multicoordinate systems; optimal state estimation; radar target tracking; sensor tracking performance; similar sensors; state estimation; track fusion; Information filtering; Information filters; Multisensor systems; Noise measurement; Sensor fusion; Sensor phenomena and characterization; Sensor systems; State estimation; State feedback; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2001 CIE International Conference on, Proceedings

Conference_Location

Beijing

Print_ISBN

0-7803-7000-7

Type

conf

DOI

10.1109/ICR.2001.984817

Filename

984817