• DocumentCode
    3329432
  • Title

    Asymptotic efficiency of manifold ambiguity resolution for DOA estimation in nonuniform linear antenna arrays

  • Author

    Abramovich, Yuri I. ; Gorokhov, Alexei Y. ; Spencer, Nicholas K.

  • Author_Institution
    Cooperative Res. Centre for Sensor Signal & Inf. Processing, The Levels, SA, Australia
  • fYear
    1997
  • fDate
    16-18 April 1997
  • Firstpage
    173
  • Lastpage
    176
  • Abstract
    Linear dependence amongst the nonuniform linear array antenna manifold ("steering vectors") leads to a failure of the MUSIC algorithm to identify the correct signal sources (a "manifold ambiguity"). However, this failure does not necessarily imply that unambiguous DOA estimates are unobtainable. For fully-augmentable array geometries, an algorithm involving the standard augmentation approach successfully resolves the manifold ambiguity. For partially-augmentable and arbitrary-geometry arrays, the augmentation approach was generalised, mainly relying upon maximum-entropy covariance matrix completion. This paper deals with an asymptotic analysis of the generalised approach which is capable of resolving manifold ambiguity (provided the corresponding Fisher matrix is not rank-deficient).
  • Keywords
    covariance matrices; direction-of-arrival estimation; linear antenna arrays; maximum entropy methods; signal sources; DOA estimation; Fisher matrix; MUSIC algorithm; algorithm; arbitrary-geometry arrays; asymptotic efficiency; augmentation approach; fully-augmentable array geometries; linear dependence; manifold ambiguity resolution; maximum-entropy covariance matrix completion; nonuniform linear antenna arrays; nonuniform linear array antenna manifold; partially-augmentable arrays; signal sources; steering vectors; Antenna arrays; Antenna measurements; Australia; Direction of arrival estimation; Geometry; Linear antenna arrays; Multiple signal classification; Sensor arrays; Signal processing; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications, First IEEE Signal Processing Workshop on
  • Conference_Location
    Paris, France
  • Print_ISBN
    0-7803-3944-4
  • Type

    conf

  • DOI
    10.1109/SPAWC.1997.630231
  • Filename
    630231