• DocumentCode
    46790
  • Title

    Consensus Bernoulli Filter for Distributed Detection and Tracking using Multi-Static Doppler Shifts

  • Author

    Guldogan, Mehmet Burak

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Turgut Ozal Univ., Ankara, Turkey
  • Volume
    21
  • Issue
    6
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    672
  • Lastpage
    676
  • Abstract
    In this letter, we study the problem of distributed detection and tracking of a target over a network of separately located Doppler-shift sensors. For this challenging problem, we propose consensus Gaussian mixture - Bernoulli (CGM-Ber) filter. The simulation results prove the robust and effective performance of the proposed approach in a challenging tracking scenario.
  • Keywords
    Doppler shift; Gaussian processes; filtering theory; object detection; target tracking; consensus Gaussian mixture-Bernoulli filter; distributed detection and tracking; multistatic Doppler shift sensor; Doppler shift; Noise measurement; Probability density function; Sensor fusion; Target tracking; Tin; Bernoulli filter; Doppler-shift; consensus algorithms; covariance intersection; distributed fusion; target tracking;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2313177
  • Filename
    6777302
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=46790