• DocumentCode
    2952691
  • Title

    3-D MUSIC with polynomial rooting for near-field source localization

  • Author

    Hung, Hsien-Sen ; Chang, Shun-Hsyung ; Wu, Chieng-Hsing

  • Author_Institution
    Nat. Taiwan Ocean Univ., Taiwan
  • Volume
    6
  • fYear
    1996
  • fDate
    7-10 May 1996
  • Firstpage
    3065
  • Abstract
    The bearing, elevation, and range estimation of near-field narrow-band sources from data observed across an array of sensors is considered. For high-resolution source localization, the multiple signal classification (MUSIC) algorithm is modified and extended to its 3-D version by accounting for the spherical curvature and spreading factor in the array manifold. However, the simultaneous estimation of bearing, elevation, and range from the 3-D MUSIC spectrum requires exhaustive multidimensional search. In order to alleviate the computational load, an alternative algorithm is proposed. The proposed algorithm involves a search in the range domain combined with polynomial rooting, which replaces the search in the azimuth-elevation domain, for bearing and elevation estimation
  • Keywords
    array signal processing; direction-of-arrival estimation; polynomials; search problems; spectral analysis; 3D MUSIC spectrum; array manifold; bearing estimation; computational load; elevation estimation; exhaustive multidimensional search; high resolution source localization; multiple signal classification algorithm; near-field narrowband sources; near-field source localization; polynomial rooting; range domain search; range estimation; sensor array; spherical curvature; spreading factor; Classification algorithms; Multidimensional systems; Multiple signal classification; Narrowband; Oceans; Passive radar; Polynomials; Sensor arrays; Silicon carbide; Sonar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-3192-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1996.550523
  • Filename
    550523