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Evaluation of Fine Alignment Algorithm for Inertial Navigation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00181657" target="_blank" >RIV/68407700:21230/11:00181657 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of Fine Alignment Algorithm for Inertial Navigation

  • Original language description

    This paper describes results obtained during evaluation of a fine alignment algorithm for inertial navigation. The fine alignment algorithm is based on a full-state error model for extended Kalman filter and its purpose is to estimate random errors in accelerometers and angular rate sensors signals to improve the precision of determination of initial attitude angles. Precise determination of initial attitude is important in inertial navigation, since it is one of the most crucial sources of error duringinertial data integration, which is performed to obtain velocity and position information.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Przeglad Elektrotechniczny

  • ISSN

    0033-2097

  • e-ISSN

  • Volume of the periodical

    7

  • Issue of the periodical within the volume

    87

  • Country of publishing house

    PL - POLAND

  • Number of pages

    4

  • Pages from-to

    255-258

  • UT code for WoS article

    000292637600058

  • EID of the result in the Scopus database