• DocumentCode
    3246387
  • Title

    Estimating the direction of arrival at low signal to noise ratios using the principal-component-Burg cascaded system

  • Author

    Rao, Sathyanarayan S. ; Raghavan, K.R. ; Moorkerjee

  • Author_Institution
    Dept. of Electr. Eng., Villanova Univ., PA, USA
  • fYear
    1989
  • fDate
    0-0 1989
  • Firstpage
    47
  • Lastpage
    50
  • Abstract
    The problem of estimating the direction of arrival (DOA) of plane waves is considered. The principal component (PC) method has a threshold of 7 dB, below which the mean square error is too large for the estimate to be considered reliable. The PC method is cascaded with the Burg algorithm (BA) to yield estimates of DOAs at signal-to-noise ratios (SNRs) as low as -5 dB. For a single source, this cascading yields an almost unbiased estimated with a very small variance. What makes this method more attractive is the fact that only one snapshot is used for the simulations. The method works in general and requires the solution to a set of second-degree equations. This method appears to be very attractive under adverse SNR conditions and if small number of snapshots are available.<>
  • Keywords
    signal detection; signal processing; adverse SNR conditions; direction of arrival; low signal to noise ratios; mean square error; plane waves; principal-component-Burg cascaded system; single source; unbiased estimated; Signal detection; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Engineering, 1989., IEEE International Conference on
  • Conference_Location
    Fairborn, OH, USA
  • Type

    conf

  • DOI
    10.1109/ICSYSE.1989.48617
  • Filename
    48617