• DocumentCode
    290505
  • Title

    A reduced complexity ESPRIT method and its generalization to an antenna of partially unknown shape

  • Author

    Marsal, Alain ; Marcos, Sylvie

  • Author_Institution
    Lab. des Signaux et Syst., CNRS, Gif-sur-Yvette, France
  • Volume
    iv
  • fYear
    1994
  • fDate
    19-22 Apr 1994
  • Abstract
    We address the problem of finding a source bearing estimation method with low complexity and which is capable of dealing with uncertainties on the array geometry. This problem is important, for example, in the case of large towed arrays which may deviate from their assumed linear shape. We here consider the ESPRIT method as a candidate for dealing with this problem. We use the properties of the propagator to reduce the complexity of the ESPRIT method involved by the eigendecomposition and to generalize it, in conjunction with the interpolation of arrays, to the case of an array whose geometry is only known for a number of sensors equal to the number of sources
  • Keywords
    antenna arrays; computational complexity; direction-of-arrival estimation; interpolation; matrix decomposition; antenna; array geometry; eigendecomposition; interpolation; large towed arrays; linear shape; low complexity; partially unknown shape; reduced complexity ESPRIT method; source bearing estimation method; Antenna accessories; Antenna arrays; Direction of arrival estimation; Frequency estimation; Geometry; Interpolation; Matrix decomposition; Sensor arrays; Shape; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
  • Conference_Location
    Adelaide, SA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-1775-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1994.389884
  • Filename
    389884