• DocumentCode
    1751135
  • Title

    The projection matrix method for interference cancellation

  • Author

    Shim, Seijoon ; Jung, Sunghun ; Lee, Chungyong

  • Author_Institution
    ASSP Lab., Yonsei Univ., Seoul, South Korea
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1563
  • Abstract
    A new method to calculate a weight vector of a beamformer called the projection matrix method, is proposed. The method calculates a projection matrix composed of the steering vector of interference or desired signal, and obtains a new spatial covariance matrix by projecting the signal covariance matrix onto the projection matrix. Then, the method finds the eigenvector corresponding to the largest eigenvalue of the new spatial covariance matrix. If this eigenvector is adopted as a weight vector of a beamformer it is the optimal solution to maximize signal to interference plus noise ratio without requiring the inversion of the covariance matrix. The computer simulations showed that the proposed method effectively design a beamformer to cancel or attenuate interferences
  • Keywords
    array signal processing; covariance matrices; direction-of-arrival estimation; eigenvalues and eigenfunctions; interference suppression; DOA; SINR; beamformer; computer simulations; direction of arrival; eigenvalue; eigenvector; interference cancellation; projection matrix method; signal to interference plus noise ratio; spatial covariance matrix; steering vector; weight vector calculation; AWGN; Antenna arrays; Antennas and propagation; Array signal processing; Channel capacity; Covariance matrix; Eigenvalues and eigenfunctions; Interference cancellation; Noise cancellation; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2001. VTC 2001 Spring. IEEE VTS 53rd
  • Conference_Location
    Rhodes
  • ISSN
    1090-3038
  • Print_ISBN
    0-7803-6728-6
  • Type

    conf

  • DOI
    10.1109/VETECS.2001.944956
  • Filename
    944956