• DocumentCode
    2699778
  • Title

    Minimum Timing Jitter in Timing Recovery Based on Pre-filtered Square-Law Timing Detection

  • Author

    Spalvieri, Arnaldo ; Magarini, Maurizio

  • Author_Institution
    Dipt. di Elettron. e Inf., Politec. di Milano, Milan, Italy
  • fYear
    2009
  • fDate
    20-25 July 2009
  • Firstpage
    46
  • Lastpage
    51
  • Abstract
    New results about the pre-filter and the post-filter in timing recovery based on square-law detection are presented. Specifically, in the paper a matched-filter-type condition that guarantees optimality of the pre-filter against channel noise is derived. This condition can be satisfied together with the known condition for self-noise elimination, thus achieving optimality against self-noise and against channel noise simultaneously. The post-filter is optimized by introducing a phase noise model for the phase of the timing wave used at the transmit side for generating the data signal. The case of random phase walk is analyzed in detail, and, having optimized both the pre-filter and the post-filter, we conclude that the minimum variance of the normalized timing error for a given spectral quality of the source timing wave and for a given channel signal-to-noise ratio goes with (alphaT)-0.5, where T is the symbol repetition interval and alpha is the roll-off factor.
  • Keywords
    filters; phase noise; timing jitter; channel signal-to-noise ratio; matched-filter-type condition; minimum timing jitter; phase noise model; pre-filtered square-law timing detection; self-noise elimination; source timing wave; timing error; timing recovery; Additive noise; Analysis of variance; Bandwidth; Clocks; Detectors; Phase noise; Quality of service; Reliability theory; Signal generators; Timing jitter; Phase noise; Synchronization; Timing jitter; Wiener filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Theory, Reliability, and Quality of Service, 2009. CTRQ '09. Second International Conference on
  • Conference_Location
    Colmar
  • Print_ISBN
    978-1-4244-4423-6
  • Electronic_ISBN
    978-0-7695-3696-5
  • Type

    conf

  • DOI
    10.1109/CTRQ.2009.12
  • Filename
    5176068