• DocumentCode
    3052645
  • Title

    Dominant mode power spectrum estimation

  • Author

    Owsley, N.L. ; Law, J.F.

  • Author_Institution
    Naval Underwater Systems Center, New London, Connecticut, USA
  • Volume
    7
  • fYear
    1982
  • fDate
    30072
  • Firstpage
    775
  • Lastpage
    778
  • Abstract
    The minimum variance, distortion less response (MVDR) and maximum entropy method (MEM) high resolution power spectrum estimators are decomposed in terms of the dominant orthogonal modes of the covariance matrix of the analyzed data. From these decompositions, the individual orthogonal modes of the spectrum can be enhanced with the effect of increased resolution of the spectral components of the spectrum. As an example, the problem of estimating the range of a radiating source from a line array of receivers is considered. It is demonstrated that, in the presence of uncorrelated noise only, the variance of the frequency (range) estimator for a single source is essentially the same for all techniques but that range resolution can be dramatically improved with the modal techniques.
  • Keywords
    Analysis of variance; Array signal processing; Covariance matrix; Data analysis; Eigenvalues and eigenfunctions; Entropy; Frequency estimation; Signal processing; Signal resolution; Spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1982.1171549
  • Filename
    1171549