• DocumentCode
    1932007
  • Title

    Analytical performance evaluation of an enhanced frequency domain radar detector

  • Author

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

  • Author_Institution
    Mil. Tech. Coll., Cairo
  • fYear
    2008
  • fDate
    26-30 May 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Periodogram is a simple and efficient way to detect and estimate parameters of sinusoidal signals which is widely used in radar where we need to detect moving targets. In this paper, the detection performance of the periodogram and its variants such as Bartlett, Welch methods, and a proposed Bartlett-based method is evaluated. 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 a tolerable reduction of the frequency resolution.
  • Keywords
    fast Fourier transforms; frequency-domain analysis; object detection; parameter estimation; radar detection; Bartlett-based method; FFT; analytical performance evaluation; frequency domain radar detector; moving target detection; parameter estimation; periodogram; receiver operating characteristics; sinusoidal signal; Additive white noise; Analytical models; Detectors; Educational institutions; Frequency domain analysis; Frequency estimation; Parameter estimation; Performance analysis; Radar detection; Sonar detection; Bartlett; Detection; FFT; Periodogram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2008. RADAR '08. IEEE
  • Conference_Location
    Rome
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-1538-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2008.4720951
  • Filename
    4720951