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"
}