• DocumentCode
    832401
  • Title

    Bayesian methods for erasure insertion in frequency-hopping multiple access with Rice selective fading

  • Author

    De Fina, Silvia

  • Author_Institution
    Director of Technol., H3G Italia S.p.A, Roma, Italy
  • Volume
    52
  • Issue
    6
  • fYear
    2003
  • Firstpage
    1616
  • Lastpage
    1620
  • Abstract
    A Bayesian decision rule for erasure insertion is derived, assuming frequency-hop multiple-access communications in Rician selective fading. The proposed method is based on a channel-identification approach together with decision feedback. Given the propagation environment under study, which can be deemed typical for broadband mobile systems, the Rice factor, in addition to the channel power delay profile, needs to be estimated by the receiver. Significant performance gain, compared to the simple ratio-threshold test (RTT), can be achieved with the proposed method at the expense of greater complexity, mainly due to the channel-identification requirement. Nevertheless, it is shown that this Bayesian decision rule exhibits high robustness in respect of the joint estimation of the Rice factor and power-delay profile, thus proving its actual applicability in real receivers employing erasure insertion.
  • Keywords
    Bayes methods; Rician channels; automatic repeat request; broadband networks; channel estimation; computational complexity; decision theory; delay estimation; frequency hop communication; mobile radio; multi-access systems; radio receivers; Bayesian decision rule; Rice factor; Rician fading; Rician selective fading; broadband mobile systems; channel power delay profile; channel-identification; decision feedback; erasure insertion; frequency-hopping multiple access; ratio-threshold test; Bayesian methods; Delay estimation; Fading; Feedback; Frequency; Mobile communication; Performance gain; Propagation delay; Rician channels; Testing;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2003.816619
  • Filename
    1247818