• DocumentCode
    2607184
  • Title

    A maximum-likelihood detector for coded OFDM transmission plagued by narrowband interference

  • Author

    Morelli, Michele ; Moretti, Marco

  • Author_Institution
    Dipt. di Ing. dell´´Inf., Univ. di Pisa, Pisa, Italy
  • fYear
    2010
  • fDate
    14-16 June 2010
  • Firstpage
    140
  • Lastpage
    144
  • Abstract
    In this paper we consider the problem of maximum-likelihood decoding of a coded orthogonal frequency-division multiplexing (OFDM) transmission plagued by the presence of narrowband interference. The presence of NBI characterizes many practical contexts, including cellular applications and emerging spectrum sharing systems, where coexistence of different types of wireless services over the same frequency band may result into remarkable co-channel interference. The coding scheme is the bit-interleaved coded modulation (BICM). Conventional maximum likelihood (ML) decision strategies for BICM-OFDM transmissions suffer from significant performance degradation in the presence of NBI. To overcome this difficulty, in this work we develop a new bit-metric for the decoding of the transmitted data that achieves near-optimum results.
  • Keywords
    OFDM modulation; cochannel interference; cognitive radio; interleaved codes; maximum likelihood decoding; maximum likelihood detection; radio spectrum management; wireless channels; bit-interleaved coded modulation; cellular application; cochannel interference; coded OFDM transmission; coded orthogonal frequency-division multiplexing transmission; cognitive radio; conventional maximum likelihood decision strategy; frequency band; maximum-likelihood decoding; maximum-likelihood detector; narrowband interference; spectrum sharing system; wireless service; Decoding; Jamming; Multiplexing; Narrowband; BICM; Cognitive radio; interference detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Information Processing (CIP), 2010 2nd International Workshop on
  • Conference_Location
    Elba
  • Print_ISBN
    978-1-4244-6457-9
  • Type

    conf

  • DOI
    10.1109/CIP.2010.5604218
  • Filename
    5604218