The Application of the Time Series Theory to Processing Data from the SBAS Receiver with Safety of Life Service

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F12%3A39895028" target="_blank" >RIV/00216275:25530/12:39895028 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The Application of the Time Series Theory to Processing Data from the SBAS Receiver with Safety of Life Service

Popis výsledku v původním jazyce

Before GNSS will be used in railway safety-related applications, it is necessary to determine reliability attributes of these systems as quality measures from the user point of view. It is necessary to find new methods of processing data from the GNSS system in accordance with strict railway standards. Possibilities of the determination of the GNSS failure rates by means of the time series theory were investigated. At first, a basic statistic exploration analysis by means of histograms and boxplot graphs was done. Then correlation analysis by autocorrelation (ACF), and partial autocorrelation functions (PACF), was done. Statistical tests for the confirmation conditional heteroscedasticity of time series were done. ARMA/GARCH models were constructed, and their residuals were analyzed.

Název v anglickém jazyce

The Application of the Time Series Theory to Processing Data from the SBAS Receiver with Safety of Life Service

Popis výsledku anglicky

Before GNSS will be used in railway safety-related applications, it is necessary to determine reliability attributes of these systems as quality measures from the user point of view. It is necessary to find new methods of processing data from the GNSS system in accordance with strict railway standards. Possibilities of the determination of the GNSS failure rates by means of the time series theory were investigated. At first, a basic statistic exploration analysis by means of histograms and boxplot graphs was done. Then correlation analysis by autocorrelation (ACF), and partial autocorrelation functions (PACF), was done. Statistical tests for the confirmation conditional heteroscedasticity of time series were done. ARMA/GARCH models were constructed, and their residuals were analyzed.

Druh

D - Stať ve sborníku

CEP obor

JV - Kosmické technologie

OECD FORD obor

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Projekt

<a href="/cs/project/FR-TI1%2F084" target="_blank" >FR-TI1/084: Zkvalitnění a zvýšení spolehlivosti dopravní infrastruktury využitím mikrovlnných technologii</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2012 IEEE/ION Position. Location and Navigation Symposium

ISBN

978-1-4673-0387-3

ISSN

2153-358X

e-ISSN

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Počet stran výsledku

11

Strana od-do

1150-1161

Název nakladatele

IEEE (Institute of Electrical and Electronics Engineers)

Místo vydání

New York

Místo konání akce

Myrtle Beach

Datum konání akce

23. 4. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000309273900143