• DocumentCode
    3614366
  • Title

    Maximum likelihood estimation for signal parameters using pseudo-Wigner distribution

  • Author

    H. Ijima;A. Ohsumi;H. Sato;I. Djurovic

  • Author_Institution
    Kyoto Inst. of Technol., Japan
  • Volume
    3
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1464
  • Abstract
    In this paper a novel method for identifying unknown parameters associated with the received signals which are corrupted by random noise is established. Our key approach is to construct a likelihood(-ratio) function for the time-frequency random field generated by the pseudo-Wigner distribution. Numerical simulations are presented to verify the efficacy of the proposed method.
  • Keywords
    "Maximum likelihood estimation","Time frequency analysis","Signal processing","Signal detection","Delay","Frequency modulation","Parameter estimation","Frequency estimation","Fourier transforms","Numerical simulation"
  • Publisher
    ieee
  • Conference_Titel
    SICE 2002. Proceedings of the 41st SICE Annual Conference
  • Print_ISBN
    0-7803-7631-5
  • Type

    conf

  • DOI
    10.1109/SICE.2002.1196522
  • Filename
    1196522
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3614366