• DocumentCode
    682656
  • Title

    TOA-based target tracking using improved particle filter in passive bistatic radar with glint noise

  • Author

    Hongwei Li ; Xuejun Ji ; Guoqing Zhao

  • Author_Institution
    54th Res. Inst., CETC, Shijiazhuang, China
  • Volume
    03
  • fYear
    2013
  • fDate
    16-18 Dec. 2013
  • Firstpage
    1184
  • Lastpage
    1188
  • Abstract
    A time-of-arrival (TOA) measurements-based tracking method for passive bistatic radar (PBR) in the presence of glint noise is proposed. To improve the TOA-based tracking precision in glint, an improved particle filter (PF) based on differential evolution algorithm is used for target tracking. It is shown that the proposed method can improve the tracking precision of PBR in glint noise compared with the extended Kalman filter and the PF.
  • Keywords
    Kalman filters; nonlinear filters; particle filtering (numerical methods); radar tracking; target tracking; PBR; PF; TOA measurements based tracking method; differential evolution algorithm; extended Kalman filter; glint noise; improved particle filter; passive bistatic radar; time-of-arrival; Bistatic radar; Noise; Particle filters; Probability density function; Radar tracking; Target tracking; Passive bistatic radar; glint noise; particle filter; time-of-arrival;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2013 6th International Congress on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-2763-0
  • Type

    conf

  • DOI
    10.1109/CISP.2013.6743851
  • Filename
    6743851