Detail publikace
Bayesian Filters in Tracking and Location Techniques
KAŇA, Z. FIEDLER, P.
Originální název
Bayesian Filters in Tracking and Location Techniques
Anglický název
Bayesian Filters in Tracking and Location Techniques
Jazyk
en
Originální abstrakt
The framework for location techniques based on Personal area networks and Bayesian filters is described in this paper. Two most commonly used Bayesian filters are picked out for our simulations - Kalman and Particle filter. There are presented the basic features and advantages (disadvantages) of them, too.
Anglický abstrakt
The framework for location techniques based on Personal area networks and Bayesian filters is described in this paper. Two most commonly used Bayesian filters are picked out for our simulations - Kalman and Particle filter. There are presented the basic features and advantages (disadvantages) of them, too.
Dokumenty
BibTex
@article{BUT47784,
author="Zdeněk {Kaňa} and Petr {Fiedler}",
title="Bayesian Filters in Tracking and Location Techniques",
annote="The framework for location techniques based on Personal area networks and Bayesian filters is described in this paper. Two most commonly used Bayesian filters are picked out for our simulations - Kalman and Particle filter. There are presented the basic features and advantages (disadvantages) of them, too.",
chapter="47784",
journal="TechSys 2009 Internationa Conference Engieering, Technologies and Systems",
number="1",
volume="14(2009)",
year="2009",
month="may",
pages="99--104",
type="journal article - other"
}