• DocumentCode
    3387407
  • Title

    SVD-based method for DOA estimation in the presence of mutual coupling

  • Author

    Yi Qu ; Jian Zhang

  • Author_Institution
    Inf. Dept., Eng. Univ. of Armed Police Force, Xi´an, China
  • fYear
    2013
  • fDate
    23-25 March 2013
  • Firstpage
    1633
  • Lastpage
    1636
  • Abstract
    A method for direction finding in the presence of mutual coupling is proposed. The method uses the singular value decomposition (SVD) to calculate coupling coefficients from the initial estimates of the direction-of-arrival (DOA). Exploiting these calculated coupling coefficients, the DOA can be estimated precisely by the multiple signal classification (MUSIC) algorithm. Based on this, Blind calibration is realized by several iterations between coupling coefficients and DOA. To deal with the local optimum problem occurring in these iterations, two improved methods for single and multiple sources respectively are presented. Simulation results demonstrate the effectiveness of the proposed methods.
  • Keywords
    blind source separation; direction-of-arrival estimation; iterative methods; optimisation; signal classification; singular value decomposition; DOA estimation; MUSIC algorithm; SVD-based method; blind calibration; coupling coefficients; direction finding; direction-of-arrival estimation; iterations; local optimum problem; multiple signal classification; mutual coupling; singular value decomposition; Calibration; Couplings; Direction-of-arrival estimation; Estimation; Multiple signal classification; Mutual coupling; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2013 International Conference on
  • Conference_Location
    Yangzhou
  • Print_ISBN
    978-1-4673-5137-9
  • Type

    conf

  • DOI
    10.1109/ICIST.2013.6747850
  • Filename
    6747850