• DocumentCode
    2529377
  • Title

    An approximative maximum likelihood frequency detector for DS/SS systems

  • Author

    SAARNISAARI, Harri

  • Author_Institution
    Telecommun. Lab., Oulu Univ., Finland
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    747
  • Abstract
    An approximative maximum likelihood frequency detector is derived. It is based on the first order Taylor series expansion of the frequency domain Doppler shifted signal. Besides the direct frequency detector and joint code phase and frequency detector, also a closed loop frequency detector form is given. The closed loop detector is equivalent to Gardner´s (1990) maximum likelihood frequency detector. Alternative derivation of Gardner´s maximum likelihood frequency detector loop is therefore given. Simulations show that the direct form estimator is biased and outperformed by an other, even simpler, direct form estimator presented in the literature
  • Keywords
    Doppler shift; approximation theory; closed loop systems; digital radio; maximum likelihood detection; series (mathematics); spread spectrum communication; AFC loop; DS/SS systems; Gardner frequency detector; approximative maximum likelihood frequency detector; automatic frequency control; biased direct form estimator; closed loop frequency detector; digital communications; direct frequency detector; first order Taylor series expansion; frequency domain Doppler shifted signal; joint code phase/frequency detector; simulations; Automatic frequency control; Doppler shift; Frequency estimation; Frequency locked loops; Maximum likelihood detection; Maximum likelihood estimation; Phase detection; Phase estimation; Phase frequency detector; Taylor series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spread Spectrum Techniques and Applications, 2000 IEEE Sixth International Symposium on
  • Conference_Location
    Parsippany, NJ
  • Print_ISBN
    0-7803-6560-7
  • Type

    conf

  • DOI
    10.1109/ISSSTA.2000.876534
  • Filename
    876534