• DocumentCode
    1732317
  • Title

    Adaptive locally optimal detectors for CPFSK in non-Gaussian noise

  • Author

    Zeghlache, D. ; Soliman, S.S.

  • Author_Institution
    Southern Methodist University, Dallas, Texas
  • Volume
    37
  • fYear
    1987
  • Firstpage
    272
  • Lastpage
    278
  • Abstract
    Performance of adaptive locally optimal Bayes´ detectors (LOBD) for detecting Continuous Phase Frequency Shift Keyed (CPFSK) signals in impulsive non-Gaussian noise is investigated. Two models are used to characterize the noise process, the Johnson Su system of densities and a mixture of normals model. Analytic estimation of performance along with simulation results illustrate the robustness of these adaptive schemes.
  • Keywords
    Adaptive signal detection; Additive noise; Analytical models; Detectors; Electromagnetic interference; Gaussian noise; Noise robustness; Performance analysis; Phase detection; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 1987. 37th IEEE
  • Type

    conf

  • DOI
    10.1109/VTC.1987.1623556
  • Filename
    1623556
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1732317