• DocumentCode
    1633455
  • Title

    Low complexity implementation of per-survivor processing for carrier-phase tracking in uncertain environments

  • Author

    Safari, Nima ; Vahlin, Anders ; Lund, Sigurd A.

  • Author_Institution
    Ceragon Networks, Bergen, Norway
  • fYear
    2012
  • Firstpage
    195
  • Lastpage
    198
  • Abstract
    Performance of Maximum Likelihood Sequence Estimation (MLSE) in receivers highly depends on the reliability of the channel parameters estimation. Traditionally, the channel parameters are estimated based on the tentative decisions before the MLSE detector. Per-survivor Processing (PSP) technique, as compared to traditional Viterbi algorithm, was shown to improve the performance of MLSE in uncertain environments. The PSP technique mainly comes from the idea that the estimation of unknown channel parameters can be embedded into the Viterbi decoder. The higher performance of the technique is achieved at the expense of higher complexity. In this paper we introduce a modification to the PSP algorithm to reduce the number of per-survivors and therefore the associated parameter updating modules. This modification was shown to lower the implementation complexity of the algorithm while keeping the performance at an acceptable level. The performance of phase tracking based on the PSP technique was also compared to traditional phase trackers through simulation.
  • Keywords
    Viterbi decoding; maximum likelihood sequence estimation; MLSE detector; Viterbi algorithm; Viterbi decoder; carrier-phase tracking; channel parameters estimation; maximum likelihood sequence estimation; parameter updating modules; phase trackers; receivers; uncertain environments; Channel estimation; Complexity theory; Decoding; Maximum likelihood estimation; Measurement; Viterbi algorithm; Per-survivor processing; Trellis-coded modulation; Viterbi; channel parameters estimation; phase tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio and Wireless Symposium (RWS), 2012 IEEE
  • Conference_Location
    Santa Clara, CA
  • ISSN
    2164-2958
  • Print_ISBN
    978-1-4577-1153-4
  • Type

    conf

  • DOI
    10.1109/RWS.2012.6175304
  • Filename
    6175304