• DocumentCode
    179513
  • Title

    Minimum sidelobe beampattern design for MIMO radar systems: A robust approach

  • Author

    Shariati, Negin ; Zachariah, Dave ; Bengtsson, Martin

  • Author_Institution
    Signal Process. Dept., KTH R. Inst. of Technol., Stockholm, Sweden
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    5312
  • Lastpage
    5316
  • Abstract
    In this paper, we propose a robust transmit beampattern design for multiple-input multiple-output (MIMO) radar systems. The objective considered here is minimization of the beampattern sidelobes, subject to constraints on the transmit power where the waveform co-variance matrix is the optimization variable. Motivated by the fact that the steering vectors are subject to uncertainties in practice, we propose a worst-case robust beampattern design where the uncertainties are parameterized by a deterministic set. We show that the resulting non-convex maximin problem can be translated into a convex problem. We numerically illustrate that the steering vector uncertainty yields a severe degradation in the array performance, i.e., the transmit beampattern. Also, we show that the proposed robust design improves the transmit beampattern by reducing the worst case sidelobe peak levels.
  • Keywords
    MIMO radar; array signal processing; concave programming; convex programming; covariance matrices; minimax techniques; minimisation; radar signal processing; MIMO radar systems; array performance; beampattern sidelobe minimization; convex problem; deterministic set; minimum sidelobe beampattern design; multiple-input multiple-output radar systems; nonconvex maximin problem; optimization variable; robust transmit beampattern design; steering vector uncertainty; waveform covariance matrix; Arrays; Covariance matrices; MIMO radar; Optimization; Robustness; Uncertainty; Vectors; Robustness; Waveform design; sidelobe minimization; transmit beam-pattern; worst-case optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854617
  • Filename
    6854617