Distributed optimal fusion filtering for multi-sensor systems with state equality constraints

Author

Jiabing Sun ; Dan Wang ; Chengjin Zhang

Author_Institution

Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China

fYear

2011

fDate

15-16 Aug. 2011

Firstpage

20

Lastpage

23

Abstract

The distributed optimal fusion problem for the state estimation of multi-sensor discrete-time stochastic systems with additional state equality constraints is considered. After obtaining the filtering error cross covariance between local filters, by the distributed optimal fusion algorithm weighted by matrices, the constrained distributed optimal fusion filter is derived. A numerical example shows that the fusion filter is better than each local filter.

Keywords

discrete time systems; filtering theory; matrix algebra; sensor fusion; state estimation; stochastic systems; distributed optimal fusion filtering; filtering error cross covariance; multisensor discrete-time stochastic systems; state equality constraints; state estimation; Covariance matrix; Educational institutions; Kalman filters; Sensor systems; State estimation; Sun; Constraints; distributed estimation; information fusion; multi-sensor systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Logistics (ICAL), 2011 IEEE International Conference on

Conference_Location

Chongqing

ISSN

2161-8151

Print_ISBN

978-1-4577-0301-0

Electronic_ISBN

2161-8151

Type

conf

DOI

10.1109/ICAL.2011.6024693

Filename

6024693