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"
}