• DocumentCode
    2051871
  • Title

    The interpolated ESPRIT algorithm

  • Author

    Weiss, Anthony J. ; Gavish, Motti

  • Author_Institution
    Dept. of Electron. Syst., Tel-Aviv Univ., Israel
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    3725
  • Abstract
    The technique of interpolated arrays is applied to ESPRIT-type direction-finding methods. The resulting method uses sensor arrays with arbitrary configuration, thus eliminating the basic restrictive requirement of ESPRIT for two (or more) identical arrays. The approach allows for resolving D narrowband signals if the number of sensors is at least D+1, while the original ESPRIT method requires at least 2D sensors. Moreover, it is shown that while ESPRIT performs poorly for signals propagating in parallel (or close to parallel) with the array-displacement vector, this technique does not exhibit such weakness. While using two subarrays ESPRIT cannot resolve azimuth and elevation, even when the sensors are not collinear. The interpolated ESPRIT procedure resolves azimuth and elevation using only a single array. These advantages are obtained with a reasonable increase in computation load, thus preserving the basic and most outstanding advantage of ESPRIT
  • Keywords
    interpolation; signal processing; ESPRIT-type direction-finding methods; array-displacement vector; azimuth resolution; computation load; elevation resolution; interpolated ESPRIT algorithm; interpolated arrays; narrowband signal resolution; Azimuth; Direction of arrival estimation; Geometry; Interpolation; Multiple signal classification; Narrowband; Robustness; Sensor arrays; Signal resolution; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0003-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1991.151086
  • Filename
    151086