Title :
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
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;
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
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5399824