Navigation Data Denoising
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00170886" target="_blank" >RIV/68407700:21230/10:00170886 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Navigation Data Denoising
Original language description
A signal processing plays a crucial role in each field of engineering. In case of navigation, where there is very popular to use MEMS inertial sensors in low-cost applications, the adaptive signal processing, for instance Kalman filtering (KF), is a necessity to ensure even the basic functionality. Standard navigational data include the position, velocity, and attitude and are based on acceleration and angular rate measuring in 3D orthogonal frame. Measured quantities have to be preprocessed and denoised before the mechanization of navigational equations and KF take place. This denoising provides smaller data variance and increases the precision of estimated position, velocity, and attitude. This paper deals with Allan variance analysis and its applicability in denoising procedures. An overview of applied method and its results are presented.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JU - Aeronautics, aerodynamics, aeroplanes
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MDS - Měření, diagnostika, spolehlivost palubních soustav letadel 2010
ISBN
978-80-7231-741-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Univerzita obrany
Place of publication
Brno
Event location
Brno
Event date
Oct 20, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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