• DocumentCode
    3066251
  • Title

    ML time delay estimation in a multipath channel

  • Author

    SAARNISAARI, Harri

  • Author_Institution
    Telecommun. Lab., Oulu Univ., Finland
  • Volume
    3
  • fYear
    1996
  • fDate
    22-25 Sep 1996
  • Firstpage
    1007
  • Abstract
    A receiver based on the maximum likelihood (ML) method for estimating unknown parameters of a periodic signal in a multipath channel is presented. In an AWGN channel the ML-receiver reduces to the matched filter followed by a calculation of the ML-metric. A particular interest of this paper lies in time delay estimation which is crucial in spread spectrum radiolocation systems. Performance difference between the obtained ML-receiver and the conventional receiver (the matched filter followed by an envelope detector) in a multipath channel where temporal separation of multipath components is less than one chip interval is investigated by simulations. As excepted, the ML-receiver outperforms the conventional receiver if SNR is high enough, i.e., above the threshold SNR of the ML-receiver
  • Keywords
    Gaussian channels; delays; filtering theory; matched filters; maximum likelihood estimation; multipath channels; radio direction-finding; radio receivers; signal resolution; spread spectrum communication; AWGN channel; ML receiver; ML time delay estimation; SNR; chip interval; envelope detector; matched filter; maximum likelihood method; multipath channel; multipath components; periodic signal; simulations; spread spectrum radiolocation systems; temporal separation; time delay estimation; AWGN channels; Delay effects; Delay estimation; Envelope detectors; Matched filters; Maximum likelihood detection; Maximum likelihood estimation; Multipath channels; Parameter estimation; Spread spectrum communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spread Spectrum Techniques and Applications Proceedings, 1996., IEEE 4th International Symposium on
  • Conference_Location
    Mainz
  • Print_ISBN
    0-7803-3567-8
  • Type

    conf

  • DOI
    10.1109/ISSSTA.1996.563457
  • Filename
    563457