Publication result detail

Bayesian Filters in Tracking and Location Techniques

KAŇA, Z.; FIEDLER, P.

Original Title

Bayesian Filters in Tracking and Location Techniques

English Title

Bayesian Filters in Tracking and Location Techniques

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

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.

English abstract

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.

Keywords

Tracking, Particle filter, Kalman filter

Key words in English

Tracking, Particle filter, Kalman filter

Authors

KAŇA, Z.; FIEDLER, P.

RIV year

2010

Released

29.05.2009

ISBN

1310-8271

Periodical

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

Volume

14(2009)

Number

1

State

Republic of Bulgaria

Pages from

99

Pages to

104

Pages count

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"
}