• DocumentCode
    302185
  • Title

    Estimation/detection in impulsive noise/multiuser interference environment

  • Author

    Shen, Jun ; Nikias, Clhrysostomos L.

  • Author_Institution
    Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    1
  • fYear
    1995
  • fDate
    Oct. 30 1995-Nov. 1 1995
  • Firstpage
    21
  • Abstract
    For arbitrary distribution of the additive interference at the communication receiver, we propose a new approach for the signal estimation/detection problems in the FIR channel. By applying the Bayesian law, the MAP estimator/detector are obtained. The complexity of the proposed algorithms are lower than the Viterbi decoder. As an example, the binary signal sequence is recovered from the measurement data corrupted by a highly impulsive noise process with symmetric /spl alpha/-stable distribution.
  • Keywords
    Bayes methods; FIR filters; binary sequences; estimation theory; interference (signal); maximum likelihood detection; maximum likelihood estimation; receivers; telecommunication channels; Bayesian law; FIR channel; MAP detector; MAP estimator; Viterbi decoder; additive interference distribution; algorithms complexity; binary signal sequence; communication receiver; impulsive noise environment; measurement data; multiuser interference environment; signal detection; signal estimation; symmetric /spl alpha/-stable distribution; Decoding; Density functional theory; Detectors; Finite impulse response filter; Interference; Noise cancellation; Signal detection; Signal processing; Viterbi algorithm; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-7370-2
  • Type

    conf

  • DOI
    10.1109/ACSSC.1995.540507
  • Filename
    540507