• DocumentCode
    1346977
  • Title

    A simple treatment for suboptimal Kalman filtering in case of measurement data missing

  • Author

    Chen, Gang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX
  • Volume
    26
  • Issue
    2
  • fYear
    1990
  • fDate
    3/1/1990 12:00:00 AM
  • Firstpage
    413
  • Lastpage
    415
  • Abstract
    A very simple yet efficient suboptimal Kalman filtering algorithm is proposed for the standard filtering process in an environment where some measurement data are missing. A convergence analysis for the algorithm is given
  • Keywords
    Kalman filters; computerised signal processing; measurement theory; computerised signal processing; convergence analysis; missing measurement data; standard filtering; suboptimal Kalman filtering; Algorithm design and analysis; Computer aided software engineering; Convergence; Filtering algorithms; Information filtering; Information filters; Kalman filters; Measurement standards; Smoothing methods; State estimation;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.53450
  • Filename
    53450
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1346977