• DocumentCode
    258014
  • Title

    DOA matrix based robust beamforming in the presence of steering vector mismatch

  • Author

    Wei Guo ; Pengcheng Mu ; Jiancun Fan ; Hui-Ming Wang ; Qinye Yin

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    1088
  • Lastpage
    1092
  • Abstract
    The minimum variance distortionless response (MV-DR) beamformer is very sensitive to the steering vector mismatch. Such mismatch can lead to serious degradation of the beamforming performance especially at high signal-to-noise ratio (SNR). In this paper, a new robust beamformer based on the DOA matrix is proposed to solve the steering vector mismatch. Through the left eigendecomposition of the DOA matrix, a subspace which is orthogonal to the interference subspace can be obtained and is further used to construct the beamforming weight vector. Simulation results show the effectiveness of our proposed method.
  • Keywords
    array signal processing; matrix decomposition; statistical analysis; DOA matrix; MV-DR beamformer; SNR; beamforming weight vector; direction-of-arrival matrix; eigendecomposition; minimum variance distortionless response beamformer; signal-to-noise ratio; steering vector mismatch; Arrays; Covariance matrices; Interference; Robustness; Signal to noise ratio; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2014.7032289
  • Filename
    7032289