• DocumentCode
    179637
  • Title

    Efficient jamming strategies on a MIMO Gaussian channel with known target signal covariance

  • Author

    Jie Gao ; Vorobyov, Sergiy A. ; Hai Jiang

  • Author_Institution
    Dept. Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    5700
  • Lastpage
    5704
  • Abstract
    The problem of jamming on a multiple-input multiple-output (MIMO) Gaussian channel is investigated. We show that the existing result based on the simplification of the system model by neglecting the jamming channel leads to losing important insights regarding the effect of jamming power and jamming channel on the jamming strategy. We find a closed-form optimal solution for the problem under some positive semidefinite condition without considering simplifications in the model. If the condition is not satisfied and the optimal solution may not exist in closed-form, we find a suboptimal solution in closed-form as a close approximation of the optimal solution. Simulation results verify the effectiveness of the proposed solutions.
  • Keywords
    Gaussian channels; MIMO communication; approximation theory; covariance analysis; jamming; wireless channels; MIMO Gaussian channel; closed-form approximation optimal solution; efficient jamming channel strategy; multiple-input multiple-output Gaussian channel; positive semidefinite condition; target signal covariance; Approximation methods; Covariance matrices; Jamming; MIMO; Receiving antennas; Transmitters; Jamming; MIMO; closed-form solution;
  • 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.2014.6854695
  • Filename
    6854695