Detail publikačního výsledku

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

Druh

Článek recenzovaný mimo WoS a Scopus

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.

Klíčová slova

Tracking, Particle filter, Kalman filter

Klíčová slova v angličtině

Tracking, Particle filter, Kalman filter

Autoři

KAŇA, Z.; FIEDLER, P.

Rok RIV

2010

Vydáno

29.05.2009

ISSN

1310-8271

Periodikum

Journal of the Technical University at Plovdiv. Fundamental Sciences and Applications

Svazek

14(2009)

Číslo

1

Stát

Bulharská republika

Strany od

99

Strany do

104

Strany počet

5

BibTex

@article{BUT47784,
  author="Zdeněk {Kaňa} and Petr {Fiedler}",
  title="Bayesian Filters in Tracking and Location Techniques",
  journal="Journal of the Technical University at Plovdiv. Fundamental Sciences and Applications",
  year="2009",
  volume="14(2009)",
  number="1",
  pages="99--104",
  issn="1310-8271"
}