Title :
State-of-the-Art for the Marginalized Particle Filter
Author :
Gustafsson, Fredrik ; Schön, Thomas B. ; Karlsson, Rickard ; Nordlund, Per-Johan
Author_Institution :
Division of Automatic Control, Department of Electrical Engineering, Linköping University, Sweden, SE-581 83 Linköping, Sweden. fredrik@isy.liu.se
Abstract :
The marginalized particle filter is a powerful combination of the particle filter and the Kalman filter, which can be used when the underlying model contains a linear sub-structure subject to Gaussian noise. This paper surveys state of the art for theory and practice.
Keywords :
Automatic control; Distributed computing; Filtering; Gaussian noise; Integrated circuit modeling; Particle filters; Reactive power; Simultaneous localization and mapping; Tin; Vectors;
Conference_Titel :
Nonlinear Statistical Signal Processing Workshop, 2006 IEEE
Conference_Location :
Cambridge, UK
Print_ISBN :
978-1-4244-0581-7
Electronic_ISBN :
978-1-4244-0581-7
DOI :
10.1109/NSSPW.2006.4378847
