• DocumentCode
    2333978
  • Title

    Two new DOA estimation methods based on orthogonal joint diagonalization

  • Author

    Song, Hai-yan ; Piao, Sheng-chun

  • Author_Institution
    Nat. Lab. of Underwater Acoust. Technol., Harbin Eng. Univ., Harbin, China
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    1110
  • Lastpage
    1114
  • Abstract
    Two new DOA (Direction Of Arrival) estimation methods based on orthogonal joint diagonalization using Jacobi rotation are proposed. Through processing spatio-temporal correlation matrices and high-order cumulant matrices by the new technique, the spatial spectrum can be redefined by the joint diagonalization matrix and a set of diagonal matrices. At the same time, these methods are also justified to be effective to process the coherent sources. Finally, the simulated and experimental results justify the proposed methods to be useful methods to DOA estimation and show that they have higher angle resolution, lower RMSE (Root Mean Squared Error), and better robustness than the conventional DOA estimation methods.
  • Keywords
    Jacobian matrices; correlation methods; direction-of-arrival estimation; higher order statistics; spatiotemporal phenomena; DOA estimation method; Jacobi rotation; direction-of-arrival; high-order cumulant matrix; orthogonal joint diagonalization matrix; spatial spectrum; spatio-temporal correlation matrix; Acoustic scattering; Acoustical engineering; Colored noise; Covariance matrix; Direction of arrival estimation; Equations; Jacobian matrices; Signal processing; Signal resolution; Underwater acoustics; Jacobi rotation; high resolution DOA estimation; high-order cumulant matrices; orthogonal joint diagonalization; spatio-temporal correlation matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138374
  • Filename
    5138374