• DocumentCode
    2291435
  • Title

    Detection of Sinusoidal Signals in Frequency Domain

  • Author

    Ahmed, Fathy M. ; Elbarbary, Khairy A. ; Elbardawiny, Abdel Rahman H.

  • Author_Institution
    Mil. Tech. Coll., Cairo
  • fYear
    2006
  • fDate
    16-19 Oct. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Periodogram is a simple and efficient way to detect and estimate parameters of sinusoidal signals. In this paper, we evaluate the detection performance of the periodogram and its variants such as Bartlett, Welch methods, and a proposed Bartlett-based method. Performance evaluation through the receiver operating characteristics (ROCs) of the mentioned methods are presented and compared. Previous studies showed that, the standard periodogram used to give the best detection performance. In the present work, analytical derivation and simulation results showed that, the proposed method gives a better detection performance outperforming the standard periodogram at the expense of tolerable reduction of the frequency resolution
  • Keywords
    frequency-domain analysis; parameter estimation; sensitivity analysis; signal detection; Bartlett-based method; ROC; frequency domain; parameter estimation; performance evaluation; periodogram; receiver operating characteristics; sinusoidal signal detection; Additive white noise; Analytical models; Detectors; Educational institutions; Frequency domain analysis; Frequency estimation; Performance analysis; Radar detection; Signal detection; Sonar detection; Bartlett; Detection; FFT; Periodogram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, 2006. CIE '06. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-9582-4
  • Electronic_ISBN
    0-7803-9583-2
  • Type

    conf

  • DOI
    10.1109/ICR.2006.343208
  • Filename
    4148314