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Statements

Subject Item
n2:RIV%2F00216305%3A26620%2F14%3APU109511%21RIV15-MSM-26620___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
The work aims at a development of positioning algorithm suitable for low-cost indoor or urban pedestrian navigation application. The sensor fusion was applied to increase the localization accuracy. Due to required low application cost only low grade inertial sensors and wireless network based ranging were taken into account. The wireless network was assumed to be preinstalled due to other required functionality (for example: building control) therefore only received signal strength (RSS) range measurement technique was considered. Wireless channel loss mapping method was proposed to overcome the natural uncertainties and restrictions in the RSS range measurements. The available sensor and environment models are summarized first and the most appropriate ones are selected secondly. Their effective and novel application in the navigation task, and favorable fusion (Particle filtering) of all available information are the main objectives of this thesis. The work aims at a development of positioning algorithm suitable for low-cost indoor or urban pedestrian navigation application. The sensor fusion was applied to increase the localization accuracy. Due to required low application cost only low grade inertial sensors and wireless network based ranging were taken into account. The wireless network was assumed to be preinstalled due to other required functionality (for example: building control) therefore only received signal strength (RSS) range measurement technique was considered. Wireless channel loss mapping method was proposed to overcome the natural uncertainties and restrictions in the RSS range measurements. The available sensor and environment models are summarized first and the most appropriate ones are selected secondly. Their effective and novel application in the navigation task, and favorable fusion (Particle filtering) of all available information are the main objectives of this thesis.
dcterms:title
Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors
skos:prefLabel
Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors
skos:notation
RIV/00216305:26620/14:PU109511!RIV15-MSM-26620___
n3:aktivita
n12:P
n3:aktivity
P(ED1.1.00/02.0068)
n3:cisloPeriodika
4
n3:dodaniDat
n18:2015
n3:domaciTvurceVysledku
n9:9625224 n9:7225512 n9:5942535
n3:druhVysledku
n13:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
36258
n3:idVysledku
RIV/00216305:26620/14:PU109511
n3:jazykVysledku
n5:eng
n3:klicovaSlova
Personal Localization, Indoor and Urban Navigation, Wireless Networks, Inertial Sensors, Particle Filter
n3:klicoveSlovo
n14:Indoor%20and%20Urban%20Navigation n14:Wireless%20Networks n14:Particle%20Filter n14:Personal%20Localization n14:Inertial%20Sensors
n3:kodStatuVydavatele
SK - Slovenská republika
n3:kontrolniKodProRIV
[B889273CF7E9]
n3:nazevZdroje
Journal of Electrical Engineering
n3:obor
n8:JW
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n6:ED1.1.00%2F02.0068
n3:rokUplatneniVysledku
n18:2014
n3:svazekPeriodika
65
n3:tvurceVysledku
Kaňa, Zdeněk Fiedler, Petr Bradáč, Zdeněk
s:issn
1335-3632
s:numberOfPages
10
n17:organizacniJednotka
26620