• DocumentCode
    3067866
  • Title

    Estimation of sensor bias in multisensor systems

  • Author

    Cruz, E. J Dela ; Alouani, A.T. ; Rice, T.R. ; Blair, W.D.

  • Author_Institution
    Dept. of Electr. Eng., Tennessee Technol. Univ., Cookeville, TN, USA
  • fYear
    1992
  • fDate
    12-15 Apr 1992
  • Firstpage
    210
  • Abstract
    An adaptive Kalman-filter-based technique to estimate and remove the sensor biases in a multiradar system is presented. The measurement model is based on the Taylor series approximation of the exact model and it incorporates range bias, bearing bias, and elevation bias. The technique was implemented using target tracks. The simulation results are presented. It was found that this technique gives accurate estimates of the sensor biases when given a reasonable model of the bias dynamics
  • Keywords
    Kalman filters; adaptive filters; array signal processing; radar systems; radar theory; Kalman-filter-based technique; Taylor series approximation; bearing bias; bias dynamics; multiradar system; range bias; sensor bias estimation; target tracks; Control systems; Coordinate measuring machines; Multisensor systems; Radar tracking; Rotation measurement; Sensor fusion; Sensor systems; Target tracking; Uncertainty; Weapons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon '92, Proceedings., IEEE
  • Conference_Location
    Birmingham, AL
  • Print_ISBN
    0-7803-0494-2
  • Type

    conf

  • DOI
    10.1109/SECON.1992.202338
  • Filename
    202338