• DocumentCode
    2201969
  • Title

    Distributive JPDAF for Multi-Target Tracking in Wireless Sensor Networks

  • Author

    Ma, Hui ; Ng, Brian W H

  • Author_Institution
    Adelaide Univ., SA
  • fYear
    2006
  • fDate
    14-17 Nov. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper we present the development of a distributive joint probabilistic data association filter (JPDAF) for multi-target tracking in wireless sensor networks. We adopt sequential Monte Carlo (SMC) method to implement the JPDAF, and use Gaussian mixture model (GMM) to develop the distributive JPDAF. Simulation results are also provided
  • Keywords
    Gaussian processes; Monte Carlo methods; filtering theory; probability; sensor fusion; target tracking; wireless sensor networks; GMM; Gaussian mixture model; SMC; distributive JPDAF; joint probabilistic data association filter; multitarget tracking; sequential Monte Carlo method; wireless sensor networks; Australia; Bayesian methods; Filtering; Filters; Monte Carlo methods; Radar tracking; Sensor phenomena and characterization; Sliding mode control; Target tracking; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2006. 2006 IEEE Region 10 Conference
  • Conference_Location
    Hong Kong
  • Print_ISBN
    1-4244-0548-3
  • Electronic_ISBN
    1-4244-0549-1
  • Type

    conf

  • DOI
    10.1109/TENCON.2006.343949
  • Filename
    4142295
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2201969