Publication detail

COMPARISON OF KALMAN AND PARTICLE FILTERS USED IN NODE TRACKING

KAŇA, Z. BRADÁČ, Z. FIEDLER, P.

Original Title

COMPARISON OF KALMAN AND PARTICLE FILTERS USED IN NODE TRACKING

Type

conference paper

Language

English

Original Abstract

This paper deals with node tracking. The Bayesian filters and mainly Kalman and Particle filters are described. They are applied for a node tracking task based on received signal strength measurement and Maximum likelihood estimator. The results of our simulations are presented in this paper, too.

Keywords

Kalman Filter, Particle Filter, Tracking

Authors

KAŇA, Z.; BRADÁČ, Z.; FIEDLER, P.

RIV year

2009

Released

24. 11. 2009

Publisher

DAAAM International

Location

Vienna

ISBN

978-3-901509-70-4

Book

Annals of DAAAM for 2009 and Proceedings

ISBN

1726-9679

Periodical

Inteligent Manufacturing and Automation: Focus on Young Researches and Scientists

Year of study

20

State

Republic of Austria

Pages from

1273

Pages to

1274

Pages count

1981

BibTex

@inproceedings{BUT33387,
  author="Zdeněk {Kaňa} and Zdeněk {Bradáč} and Petr {Fiedler}",
  title="COMPARISON OF KALMAN AND PARTICLE FILTERS USED IN NODE TRACKING",
  booktitle="Annals of DAAAM for 2009 and Proceedings",
  year="2009",
  journal="Inteligent Manufacturing and Automation: Focus on Young Researches and Scientists",
  volume="20",
  pages="1273--1274",
  publisher="DAAAM International",
  address="Vienna",
  isbn="978-3-901509-70-4",
  issn="1726-9679"
}