• DocumentCode
    3415598
  • Title

    Detection of the number of signals in the presence of noise with an unknown, banded structured covariance matrix

  • Author

    Chen, W.G. ; Reilly, J.P. ; Wong, K.M.

  • Author_Institution
    Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
  • fYear
    1991
  • fDate
    9-10 May 1991
  • Firstpage
    128
  • Abstract
    Based on the fact that a noise is usually correlated over a limited spatial range, a detection scheme employing two spatially separated arrays is proposed. To extend this concept to the detection problem is quite natural. The problem is how to find a theoretically solid, functionally robust algorithm to process the array outputs. A canonical correlation is introduced to solve the problem, and a satisfactory method is developed
  • Keywords
    correlation methods; matrix algebra; noise; signal detection; signal processing; algorithm; array outputs; array signal processing; banded structured covariance matrix; canonical correlation; signal detection; spatially separated arrays; Array signal processing; Colored noise; Covariance matrix; Sensor arrays; Signal analysis; Signal processing; Testing; Vectors; White noise; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers and Signal Processing, 1991., IEEE Pacific Rim Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-87942-638-1
  • Type

    conf

  • DOI
    10.1109/PACRIM.1991.160698
  • Filename
    160698