Detail publikace

COMPARISON OF KALMAN AND PARTICLE FILTERS USED IN NODE TRACKING

KAŇA, Z. BRADÁČ, Z. FIEDLER, P.

Originální název

COMPARISON OF KALMAN AND PARTICLE FILTERS USED IN NODE TRACKING

Anglický název

COMPARISON OF KALMAN AND PARTICLE FILTERS USED IN NODE TRACKING

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex 


@inproceedings{BUT33387,
  author="Zdeněk {Kaňa} and Zdeněk {Bradáč} and Petr {Fiedler}",
  title="COMPARISON OF KALMAN AND PARTICLE FILTERS USED IN NODE TRACKING",
  annote="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.",
  address="DAAAM International",
  booktitle="Annals of DAAAM for 2009 and Proceedings",
  chapter="33387",
  howpublished="print",
  institution="DAAAM International",
  journal="Inteligent Manufacturing and Automation: Focus on Young Researches and Scientists",
  year="2009",
  month="november",
  pages="1273--1274",
  publisher="DAAAM International",
  type="conference paper"
}