• DocumentCode
    1972394
  • Title

    Computationally efficient estimation of the azimuth and elevation of multiple sources with planar sensor arrays

  • Author

    Zoltowski, Michael D. ; Stavrinides, Demosthenis

  • Author_Institution
    Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    1989
  • fDate
    14-16 Aug 1989
  • Firstpage
    582
  • Abstract
    The use of ESPRIT as a direction-finding algorithm requires a pair of identical array structures, where one is merely translated with respect to the other. For the case in which the individual arrays are not linear, it is proposed that a scheme referred to as pseudo-forward-backward averaging (PFBAVG) be incorporated. In contrast to conventional forward-backward averaging, the use of PFBAVG does not effect source decorrelation. Rather, the use of PFBAVG in conjunction with ESPRIT effects a substantial reduction in the attendant computational burden and at the same time a significant improvement in performance. In addition, the use of PFBAVG gives rise to a simple scheme for estimating the number of sources. This scheme may be used either as an alternative to AIC and MDL, or as a means of verification. Finally, PFBAVG also facilitates a simple preprocessing measure for counteracting the pejorative effects of ill-conditioning arising when sources are closely spaced. The penalty paid for these benefits is a reduction in the maximum number of sources the algorithm is able to handle by a factor of one-half
  • Keywords
    matrix algebra; signal processing; ESPRIT; azimuth estimation; direction-finding algorithm; elevation estimation; multiple sources; planar sensor arrays; preprocessing measure; pseudo-forward-backward averaging; Azimuth; Direction of arrival estimation; Multiple signal classification; Sensor arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on
  • Conference_Location
    Champaign, IL
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1989.101921
  • Filename
    101921