• DocumentCode
    1575141
  • Title

    Track before detect algorithm based on particle filter

  • Author

    Guo, Shanshan ; Feng, Chi ; Cao, Zhanqi ; Gao, Shan

  • Author_Institution
    Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    1590
  • Lastpage
    1593
  • Abstract
    Track-before-detect algorithm based on particle filter (PF-TBD) is a hotspot on detection and tracking for dim targets in low signal-to-noise ratio (SNR) recently. This article analyzes the principle of TBD in Bayesian framework and confirms this mechanism with particle filter. Simulation results show that the analysis is valid and PF-TBD algorithm is efficient.
  • Keywords
    Bayes methods; object detection; particle filtering (numerical methods); target tracking; Bayesian framework; PF-TBD; SNR; dim target detection; dim target tracking; particle filter; signal-to-noise ratio; track before detect algorithm; Irrigation; dim targets; particle filter; track-before-detect (TBD);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2011
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-9792-8
  • Type

    conf

  • DOI
    10.1109/CSQRWC.2011.6037277
  • Filename
    6037277
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1575141