• DocumentCode
    720496
  • Title

    Airborne multisensor management for multitarget tracking

  • Author

    Youngjoo Kim ; Hyochoong Bang

  • Author_Institution
    Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • fYear
    2015
  • fDate
    9-12 June 2015
  • Firstpage
    751
  • Lastpage
    756
  • Abstract
    This paper proposed a framework for airborne multisensor management for multitarget tracking, considering each of multiple unmanned aircraft as a sensor. The purpose of the algorithm is to quantify the performance of the multitarget tracking and to determine the time and location of the sensor deployment. Utilizing the posterior Cramer-Rao lower bound, the inverse of the Fisher information matrix, the performance metric and the optimization technique for the airborne sensor system are newly defined. An example for implementing the proposed multisensor management algorithm is given with simulation results.
  • Keywords
    aircraft control; autonomous aerial vehicles; matrix algebra; optimisation; sensor fusion; sensor placement; target tracking; Cramer-Rao lower bound; Fisher information matrix; airborne multisensor management; airborne sensor system; multitarget tracking; optimization technique; performance metric; sensor deployment location; sensor deployment time; unmanned aircraft; Atmospheric modeling; Covariance matrices; Mathematical model; Multisensor systems; Optimization; Target tracking; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4799-6009-5
  • Type

    conf

  • DOI
    10.1109/ICUAS.2015.7152358
  • Filename
    7152358