• DocumentCode
    1931199
  • Title

    MIMO radar target measurements

  • Author

    Stewart, Kyle B. ; Frankford, Mark T. ; Johnson, Joel T. ; Ertin, Emre

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    2011
  • fDate
    6-9 Nov. 2011
  • Firstpage
    1067
  • Lastpage
    1071
  • Abstract
    Widely-spaced Multiple-Input Multiple-Output (MIMO) radar seeks to exploit an angular diversity of measurements in order to improve target detection performance. Such systems have been predicted to outperform equivalent phased-array configurations given a suitably low-noise environment. However, these predictions have been based on the use of a target model comprising a finite area filled with an infinite number of uncorrelated point-source scatterers, and the applicability of such models when applied to realistic MIMO radars and targets remains to be demonstrated. An extended target model is offered in which scattering amplitudes in the random target are correlated as a function of spatial proximity. This model is evaluated for its utility in describing the average radar profiles of two targets: a numerically-simulated helicopter and an experimentally measured unmanned aerial vehicle. Results demonstrate a limited applicability of the new target model but serve to verify several predictions concerning the target detection performance of MIMO radars when compared to phased arrays.
  • Keywords
    MIMO radar; helicopters; numerical analysis; object detection; radar detection; MIMO radar target measurements; experimentally measured unmanned aerial vehicle; extended target model; low-noise environment; numerically-simulated helicopter; phased array radar; scattering amplitudes; spatial proximity function; target detection performance; uncorrelated point-source scatterers; widely-spaced multiple-input multiple-output radar; Antenna measurements; Helicopters; MIMO; MIMO radar; Predictive models; Receivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4673-0321-7
  • Type

    conf

  • DOI
    10.1109/ACSSC.2011.6190176
  • Filename
    6190176