• DocumentCode
    984345
  • Title

    Target racking with glint noise

  • Author

    Rong, Weng

  • Author_Institution
    MIST Res. Center, Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • Volume
    29
  • Issue
    1
  • fYear
    1993
  • fDate
    1/1/1993 12:00:00 AM
  • Firstpage
    174
  • Lastpage
    185
  • Abstract
    In tracking targets, there can be an uncertainty associated with the measurements in addition to their inaccuracy, which is usually modeled by aDditive Gaussian noise. However, the Gaussian modeling of the noise may not be true. Noise can be non-Gaussian. The non-Gaussian noise arising in a radar system is known as glint noise. The distribution of glint noise is long tailed and will seriously affect the tracking performance. An algorithm is developed which can significantly improve the tracking performance when glint noise is present
  • Keywords
    filtering and prediction theory; radar theory; random noise; tracking; Gaussian modeling; Kalman filter; aDditive Gaussian noise; glint noise; radar system; score function; simulation; Bayesian methods; Computational complexity; Computational modeling; Equations; Filtering; Filters; Function approximation; History; State estimation; Target tracking;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.249123
  • Filename
    249123