• DocumentCode
    2109295
  • Title

    Spectral Detection and Time Delay Estimation of a Phase Coded Signal Corrupted by Colored Observation Noise

  • Author

    Awais, Saima ; Malik, Mohammad Bilal

  • Author_Institution
    Coll. of Electr. & Mech. Eng., Nat. Univ. of Sci. & Technol., Rawalpindi
  • fYear
    2008
  • fDate
    1-3 May 2008
  • Firstpage
    90
  • Lastpage
    95
  • Abstract
    This paper investigates frequency domain detection of a phase coded signal for unknown arrival time and amplitude in radar applications. The signal is barker coded pulse. A sub-optimal detector, i.e. generalized likelihood ratio test (GLRT) is used which replaces the unknown parameters by their maximum likelihood estimates and then pulse embedded in colored noise is detected. The main advantage of this scheme is that the case of colored noise can be handled. The spectral detector is evaluated through Monte Carlo (MC) simulations and receiver operating characteristic (ROC) is plotted for various signal-noise scenarios.
  • Keywords
    Monte Carlo methods; delays; maximum likelihood estimation; phase coding; radar applications; signal detection; Monte Carlo simulations; barker coded pulse; colored observation noise; frequency domain detection; generalized likelihood ratio test; maximum likelihood estimation; phase coded signal corrupted; radar applications; receiver operating characteristic; signal-noise scenarios; spectral detection; sub-optimal detector; time delay estimation; Colored noise; Delay effects; Delay estimation; Detectors; Frequency domain analysis; Maximum likelihood detection; Phase detection; Phase estimation; Phase noise; Radar detection; Barker code; colored noise; generalized likelihood ratio test (GLRT); maximum likelihood (ML); phase coding; receiver operating characteristic (ROC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Communications Conference, 2008. INCC 2008. IEEE International
  • Conference_Location
    Lahore
  • Print_ISBN
    978-1-4244-2151-0
  • Electronic_ISBN
    978-1-4244-2152-7
  • Type

    conf

  • DOI
    10.1109/INCC.2008.4562698
  • Filename
    4562698