• DocumentCode
    3008902
  • Title

    Minimum variance spectral estimation for broadband source location using steered covariance matrices

  • Author

    Krolik, Jeffrey ; Eizenman, Moshe

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
  • fYear
    1988
  • fDate
    11-14 Apr 1988
  • Firstpage
    2841
  • Abstract
    An approach is presented for reducing the threshold observation time required to perform high resolution broadband bearing estimation. The proposed technique is based on a space-time statistic called the steered covariance matrix (STCM). In broadband settings, the STCM has an advantage over the well-known cross-spectral density matrix (CSDM) in that it can be estimated with much greater statistical stability. The STCM is used in conjunction with minimum variance spectral estimation to obtain a broadband spatial spectral estimate with a much lower threshold observation time than the CSDM-based minimum-variance distortionless response (MVDR) method
  • Keywords
    acoustic arrays; acoustic signal processing; spectral analysis; acoustic arrays; acoustic signal processing; broadband source location; cross-spectral density matrix; space-time statistic; spectral estimation; steered covariance matrices; threshold observation time; Acoustic arrays; Acoustic sensors; Covariance matrix; Frequency estimation; Narrowband; Position measurement; Sensor arrays; Signal resolution; Spatial resolution; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1988.197245
  • Filename
    197245