• DocumentCode
    179502
  • Title

    MIMO radar capability on powerful jammers suppression

  • Author

    Yongzhe Li ; Vorobyov, Sergiy A. ; Hassanien, Aboulnasr

  • Author_Institution
    Dept. EE, Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    5277
  • Lastpage
    5281
  • Abstract
    The problem of jammers suppression in colocated multiple-input multiple-output (MIMO) radar is considered. We resort to reduced dimension (RD) beamspace designs with robust-ness/adaptiveness to achieve the goal of efficient jammers suppression. Specifically, our RD beamspace techniques aim at designing optimal beamspace matrices based on reasonable tradeoffs between the desired in-sector source distortion and the powerful jammer (possibly in-sector) attenuation when conducting the jammers suppression. These designs are cast as convex optimization problems which are derived using second-order cone programming. Meanwhile, we study the MUSIC-based direction-of-arrival estimation performance of the proposed beamspace designs by comparing to the conventional algorithms. Moreover, we demonstrate that the capability of efficient powerful in-sector jammers suppression using these designs is unique in MIMO radar.
  • Keywords
    MIMO radar; convex programming; direction-of-arrival estimation; jamming; matrix algebra; radar signal processing; signal classification; MIMO radar capability; MUSIC-based direction-of-arrival estimation performance; RD beamspace techniques; colocated multiple-input multiple-output radar; convex optimization problems; in-sector source distortion; optimal beamspace matrices; powerful jammer attenuation; powerful jammer suppression problem; reduced dimension beamspace designs; second-order cone programming; Direction-of-arrival estimation; Estimation; Jamming; MIMO radar; Robustness; Vectors; Beamspace design; colocated MIMO radar; convex optimization; jammers suppression; robustness;
  • 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.2014.6854610
  • Filename
    6854610