• DocumentCode
    2341515
  • Title

    DOA estimation for the near-field correlated sources with interpolated array technique

  • Author

    Yang, De-Sen ; Shi, Jie ; Liu, Bo-sheng

  • Author_Institution
    Nat. Lab. of Underwater Acoust. Technol., Harbin Eng. Univ., Harbin, China
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    3011
  • Lastpage
    3015
  • Abstract
    The problem of estimating the directions of arrival (DOAs) of perfectly correlated signals in the near-field (the Fresnel region of the array aperture) is considered. A new estimation algorithm which combines the ideas of spatial smoothing and array interpolation in the near-field is derived. The proposed technique can be applied to uniform linear array geometries in the near-field when the ranges of the sources are similar. Making use of interpolated array technique, we can place the dasiavirtual elementspsila of the interpolated array as a uniform linear array approximated in the far field, and estimate the bearing of correlated signals using the virtual array geometries. The performance of this new algorithm was evaluated by extensive simulations.
  • Keywords
    approximation theory; array signal processing; correlation methods; direction-of-arrival estimation; geometry; interpolation; smoothing methods; DOA estimation; array interpolation technique; direction-of-arrival estimation; near-field correlated signal; spatial smoothing method; uniform linear array approximation; uniform linear array geometry; virtual array geometry; Acoustic arrays; Apertures; Direction of arrival estimation; Geometry; Interpolation; Linear approximation; Maximum likelihood estimation; Narrowband; Sensor arrays; Smoothing methods; DOA estimation; correlated sources; interpolated array; near-field; spatial smoothing; virtual array geometries;
  • 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.2009.5138761
  • Filename
    5138761