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Publication detail
KAŇA, Z. FIEDLER, P.
Original Title
Bayesian Filters in Tracking and Location Techniques
Type
journal article - other
Language
English
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.
Keywords
Tracking, Particle filter, Kalman filter
Authors
KAŇA, Z.; FIEDLER, P.
RIV year
2009
Released
29. 5. 2009
ISBN
1310-8271
Periodical
Journal of the Technical University at Plovdiv. Fundamental Sciences and Applications
Year of study
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" }