• DocumentCode
    1834878
  • Title

    High resolution 2-D DOA estimation using second-order partial-differential of MUSIC spectrum

  • Author

    Ichige, Koichi ; Ishikawa, Yoshihisa ; Arai, Hiroyuki

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Yokohama Nat. Univ., Yokohama
  • fYear
    2008
  • fDate
    18-21 May 2008
  • Firstpage
    1152
  • Lastpage
    1155
  • Abstract
    This paper presents a simple but high resolution two-dimensional (2-D) direction-of-arrival (DOA) estimation method using second-order partial-differential of MUSIC spectrum. Multiple signal classification (MUSIC) method is paid attention as one of "superresolution" DOA estimation methods because of their brilliant characteristics, however MUSIC also has the problem of estimation accuracy in severe environments like low SNR, small number of snapshots, or incident waves from close angles. Paying attention to the fact that the second-order differential of MUSIC spectrum makes peaks around the original DOAs even when MUSIC spectrum does not make peaks there, we have already presented an accurate one-dimensional (1-D) DOA estimation method that employs the second-order differential of the MUSIC spectrum. In this paper, we develop the previous 1-D second-order differential approach to correspond to 2-D DOA estimation problem and see if it also works for higher dimensional case. The performance of the present method is evaluated in comparison with 2-D MUSIC method through computer simulation.
  • Keywords
    direction-of-arrival estimation; partial differential equations; signal classification; 2D direction-of-arrival estimation method; multiple signal classification spectrum; second-order partial-differential; AWGN; Additive white noise; Computer simulation; Direction of arrival estimation; Linear antenna arrays; Mobile antennas; Mobile communication; Multiple signal classification; Signal resolution; Two dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-1683-7
  • Electronic_ISBN
    978-1-4244-1684-4
  • Type

    conf

  • DOI
    10.1109/ISCAS.2008.4541627
  • Filename
    4541627