• DocumentCode
    1433485
  • Title

    Exact theoretical performance analysis of optimum detector in statistical multi-input multi-output radars

  • Author

    Naghsh, Mohammad Mahdi ; Modarres-Hashemi, M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran
  • Volume
    6
  • Issue
    2
  • fYear
    2012
  • fDate
    2/1/2012 12:00:00 AM
  • Firstpage
    99
  • Lastpage
    111
  • Abstract
    This study is concerned with the performance analysis of detection problem in statistical multiple-input multiple-output radars for Gaussian interference. This subject has been addressed in some publications for such special cases as white Gaussian noise and orthogonal transmission. However, theoretical performance analysis of optimum detector for general case including coloured Gaussian interference and arbitrary transmission signal has not been reported yet. In the present study, after developing the optimum detector for a general case, exact closed-form expressions are derived for the probability of detection and false alarm. As the derived expressions have complicated form, their interpretation is not tractable in the general case. Therefore lower and upper Chernoff bounds are obtained to provide better insight into the detector performance. Furthermore, the effect of various parameters on the detector performance is investigated by Monte-Carlo simulations. Numerical analysis shows a high degree of consistency between the theoretical and Monte-Carlo simulation results.
  • Keywords
    Gaussian noise; MIMO radar; Monte Carlo methods; statistical analysis; white noise; MIMO radar; Monte-Carlo simulations; arbitrary transmission signal; coloured Gaussian interference; detection probability; false alarm; lower Chernoff bounds; numerical analysis; optimum detector; orthogonal transmission; performance analysis; statistical multi-input multi-output radars; upper Chernoff bounds; white Gaussian noise;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar & Navigation, IET
  • Publisher
    iet
  • ISSN
    1751-8784
  • Type

    jour

  • DOI
    10.1049/iet-rsn.2011.0051
  • Filename
    6141122