• DocumentCode
    3626797
  • Title

    Track fusion using equivalent innovations

  • Author

    Darko Musicki;Robin J. Evans

  • Author_Institution
    Melbourne Systems Laboratory, Dept. Electrical and Electronic Engineering, University of Melbourne, Parkville VIC 3010, Australia
  • fYear
    2007
  • fDate
    7/1/2007 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    We investigate the problem of transmitting track state to a fusion center using minimum computational resources. Local track state is not updated and not transmitted, unless local measurements sufficiently decrease local track state uncertainty. Track state information is coded using equivalent innovations. To prevent the accumulation - random walk of coding/decoding errors (coding noise), with potentially unbounded errors, equivalent innovations incorporate the coding noise. Simulations demonstrate negligible information loss when using the equivalent innovations, compared to the optimal central fusion using unlimited bandwidth.
  • Keywords
    "Technological innovation","Target tracking","Trajectory","Covariance matrix","Noise measurement","Australia","Decoding","Surveillance","Sensor fusion","Estimation error"
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2007 10th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIF.2007.4408043
  • Filename
    4408043