A Distributed Hybrid Filter for target tracking in sensor networks

Author

Li, Feng ; Evans, Jamie S.

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia

fYear

2009

fDate

15-18 Dec. 2009

Firstpage

7587

Lastpage

7592

Abstract

In this paper, we propose the Distributed Hybrid Filter (DHF) to overcome the performance degradation in Sigma Point Filters caused by bad linearization. A quantifiable criterion to judge the quality of linearization will be given. If the linearization quality is unsatisfactory, a sensor will use some other local processing method which does not rely on linearization. The DHF can accommodate multiple sensors that are using different local processing methods and is shown to have superior performance to the Distributed Sigma Point Information Filter (DSPIF).

Keywords

Kalman filters; information filters; linearisation techniques; surveillance; target tracking; wireless sensor networks; DHF; Kalman filters; distributed Sigma point information filter; distributed hybrid filter; linearization quality; sensor networks; target tracking; Information filtering; Information filters; Linear approximation; Linearization techniques; Nonlinear filters; Particle filters; Sensor fusion; Sensor systems; State estimation; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on

Conference_Location

Shanghai

ISSN

0191-2216

Print_ISBN

978-1-4244-3871-6

Electronic_ISBN

0191-2216

Type

conf

DOI

10.1109/CDC.2009.5399824

Filename

5399824