• DocumentCode
    657716
  • Title

    Enhanced angular resolution and ambiguity suppression for MIMO radar systems by compressed sensing techniques

  • Author

    Kirschner, Andreas ; Guetlein, Johanna ; Detlefsen, Juergen

  • Author_Institution
    Fachgebiet Hochfrequente Felder und Schaltungen, Tech. Univ. Muenchen, Munich, Germany
  • fYear
    2013
  • fDate
    9-11 Oct. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In general, coherent multiple-input multiple-output (MIMO) radar systems with co-located antennas, form monostatic virtual arrays by discrete convolution of bistatic setups of transmitters and receivers. Thereby, a trade-off between maximum array dimension, element spacing and hardware efforts exists. Compressed sensing techniques can help to improve resolution or to suppress angular ambiguities for a given hardware expense. This paper demonstrates the application of a compressed sensing technique on an existing MIMO radar operating in lower W-band. Theoretical results improving the azimuth resolution and the suppression of azimuth ambiguities are presented.
  • Keywords
    MIMO radar; compressed sensing; radar antennas; radar signal processing; MIMO radar systems; ambiguity suppression; angular ambiguities; azimuth resolution; coherent multiple input multiple output radar; colocated antennas; compressed sensing techniques; discrete convolution; enhanced angular resolution; monostatic virtual arrays; Azimuth; Compressed sensing; Equations; Matching pursuit algorithms; Radar; Radar antennas; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (EuRAD), 2013 European
  • Conference_Location
    Nuremberg
  • Type

    conf

  • Filename
    6689098