• DocumentCode
    2963231
  • Title

    Detector for tonals with harmonics

  • Author

    Lu Wang ; Guoan Bi ; Chunru Wang

  • Author_Institution
    Sch. of EEE, Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2012
  • fDate
    19-22 Nov. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents detectors for signal with harmonics to fully explore the inherent harmonic structure of the signal with unknown fundamental frequency, amplitude and phase in complex white Gaussian noise. For signals with harmonic characteristics, a transformed power spectrum is proposed to find the energy integration of all the harmonic components. We analyze the statistical property of the transformed power spectrum and develop a harmonic tonal detector by using the method of generalized likelihood hypothesis test. Another detector which considers equal contributions of data sequences is also developed and analyzed theoretically. Both detectors fully utilize the harmonic information of the signal. Simulation results show their improvements on the detection performance.
  • Keywords
    Gaussian noise; harmonics; signal detection; spectral analysis; white noise; complex white Gaussian noise; data sequence; energy integration; generalized likelihood hypothesis test; harmonic characteristics; harmonic component; harmonic information; harmonic structure; harmonic tonal detector; signal amplitude; signal detector; signal frequency; statistical property; transformed power spectrum; Detectors; Harmonic analysis; Maximum likelihood estimation; Probability; Signal to noise ratio; Sonar; Chi-square distribution; constant false alarm (CFAR); generalized likelihood ratio test (GLRT); harmonics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2012 - 2012 IEEE Region 10 Conference
  • Conference_Location
    Cebu
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4673-4823-2
  • Electronic_ISBN
    2159-3442
  • Type

    conf

  • DOI
    10.1109/TENCON.2012.6412166
  • Filename
    6412166