• DocumentCode
    28229
  • Title

    Robust adaptive beamforming using beamspace steering vector estimation

  • Author

    Yang, Tao ; Su, Tao ; Zhu, W.T. ; Zhang, Leiqi

  • Author_Institution
    Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
  • Volume
    49
  • Issue
    19
  • fYear
    2013
  • fDate
    Sept. 12 2013
  • Firstpage
    1201
  • Lastpage
    1203
  • Abstract
    To solve the problem of performance degradation owing to imprecise knowledge of the array steering vector and inaccurate estimation of the sample covariance matrix, a novel algorithm based on beam-space steering vector estimation for robust adaptive beamforming is presented. By using the complementary set of the spatial sector in which the actual steering vector lies, a beam-space transformation matrix can be constructed to remove the signal of interest from the sampling covariance matrix. The beam-space steering vector is estimated by solving a non-convex quadratically constrained quadratic optimisation problem. The effectiveness and robustness of the proposed algorithm is verified by the simulations.
  • Keywords
    adaptive signal processing; array signal processing; beam steering; concave programming; covariance matrices; quadratic programming; signal sampling; array steering vector; beam space steering vector estimation; beam space transformation matrix; nonconvex quadratically constrained quadratic optimisation problem; robust adaptive beamforming; sampling covariance matrix; spatial sector;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2013.1714
  • Filename
    6612780