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  • 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.
  • 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. (en)
Title
  • Navigation Data Denoising
  • Navigation Data Denoising (en)
skos:prefLabel
  • Navigation Data Denoising
  • Navigation Data Denoising (en)
skos:notation
  • RIV/68407700:21230/10:00170886!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770015)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 273898
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/10:00170886
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Allan variance analysis, Kalman filtering, data denoising (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AD1FBA19D7F6]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • MDS - Měření, diagnostika, spolehlivost palubních soustav letadel 2010
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Roháč, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • Univerzita obrany
https://schema.org/isbn
  • 978-80-7231-741-7
http://localhost/t...ganizacniJednotka
  • 21230
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