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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F09%3APU80941%21RIV10-MSM-26220___
rdf:type
n16:Vysledek skos:Concept
dcterms:description
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. 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.
dcterms:title
Bayesian Filters in Tracking and Location Techniques Bayesian Filters in Tracking and Location Techniques
skos:prefLabel
Bayesian Filters in Tracking and Location Techniques Bayesian Filters in Tracking and Location Techniques
skos:notation
RIV/00216305:26220/09:PU80941!RIV10-MSM-26220___
n4:aktivita
n14:P n14:Z
n4:aktivity
P(GD102/09/H081), Z(MSM0021630529)
n4:cisloPeriodika
1
n4:dodaniDat
n10:2010
n4:domaciTvurceVysledku
n9:7225512 n9:5942535
n4:druhVysledku
n13:J
n4:duvernostUdaju
n19:S
n4:entitaPredkladatele
n15:predkladatel
n4:idSjednocenehoVysledku
304766
n4:idVysledku
RIV/00216305:26220/09:PU80941
n4:jazykVysledku
n7:eng
n4:klicovaSlova
Tracking, Particle filter, Kalman filter
n4:klicoveSlovo
n6:Tracking n6:Kalman%20filter n6:Particle%20filter
n4:kodStatuVydavatele
BG - Bulharská republika
n4:kontrolniKodProRIV
[CD91403657D6]
n4:nazevZdroje
TechSys 2009 Internationa Conference Engieering, Technologies and Systems
n4:obor
n11:JA
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n18:GD102%2F09%2FH081
n4:rokUplatneniVysledku
n10:2009
n4:svazekPeriodika
14(2009)
n4:tvurceVysledku
Fiedler, Petr Kaňa, Zdeněk
n4:zamer
n17:MSM0021630529
s:issn
1310-8271
s:numberOfPages
5
n5:organizacniJednotka
26220