• DocumentCode
    1639224
  • Title

    Research on track fusion in radar networking

  • Author

    You, He ; Yunlong, Dong ; Guohong, Wang ; Dong, Li

  • Author_Institution
    Res. Inst. of Inf. Fusion, Naval Aeronaut. Eng. Inst.
  • Volume
    1
  • fYear
    2005
  • Firstpage
    334
  • Abstract
    Distributed multisensor integration methods are always proposed ignored the system errors of the sensors, which degrade the precision of the fusion greatly. In this paper we discussed the influence of the system errors to the precision of the multisensor fusion, and then presented an algorithm based on maximum likelihood model, which can implement fusion and registration altogether. Simulations show that the precision of this method is superior to the original method greatly. Since the system errors are estimated by the maximum likelihood, fusion can also be implement after registration, simulations show the precision of this method is inferior to the maximum likelihood fusion, somewhat
  • Keywords
    maximum likelihood estimation; radar tracking; sensor fusion; distributed multisensor integration methods; maximum likelihood estimation; multisensor fusion; radar networking track fusion; sensor system errors; Aerospace engineering; Azimuth; Equations; Intelligent networks; Maximum likelihood estimation; Radar measurements; Radar tracking; Sensor fusion; Sensor systems; Tellurium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2005. MAPE 2005. IEEE International Symposium on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9128-4
  • Type

    conf

  • DOI
    10.1109/MAPE.2005.1617917
  • Filename
    1617917