Low-complexity Turbo-equalization for diversity channels

@article{Reynolds2001LowcomplexityTF,
  title={Low-complexity Turbo-equalization for diversity channels},
  author={Daryl Reynolds and Xiaodong Wang},
  journal={Signal Process.},
  year={2001},
  volume={81},
  pages={989-995}
}
  • Daryl Reynolds, Xiaodong Wang
  • Published in Signal Process. 2001
  • Computer Science, Mathematics
  • A low-complexity iterative receiver structure is proposed for a convolutionally coded system in a severe intersymbol interference environment where diversity reception is available. The receiver performs two successive soft decisions, first from a MMSE filter and then from a channel decoder. At each iteration, extrinsic information is extracted from the detection and decoding stages and is used as a priori information in the next iteration. Simulation results demonstrate that the proposed… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Figures, Tables, and Topics from this paper.

    Explore Further: Topics Discussed in This Paper

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 107 CITATIONS

    A MIMO turbo equalizer for frequency-selective channels with unknown interference

    VIEW 8 EXCERPTS
    HIGHLY INFLUENCED

    Iterative receivers and multichannel equalisation for time division multiple access systems

    VIEW 8 EXCERPTS
    CITES METHODS & BACKGROUND
    HIGHLY INFLUENCED

    A spectrum-overlapped resource management in dynamic spectrum control technique

    VIEW 10 EXCERPTS
    CITES METHODS
    HIGHLY INFLUENCED

    Turbo Equalization for Alamouti Space-Time Block Coded Transmission

    VIEW 4 EXCERPTS
    CITES BACKGROUND & RESULTS
    HIGHLY INFLUENCED

    Récepteurs itératifs pour systèmes multi-antennes

    VIEW 4 EXCERPTS
    CITES BACKGROUND
    HIGHLY INFLUENCED

    Iterative channel estimation and data detection in frequency-selective fading MIMO channels

    VIEW 6 EXCERPTS
    CITES METHODS
    HIGHLY INFLUENCED

    Space-time turbo equalization in frequency-selective MIMO channels

    VIEW 6 EXCERPTS
    CITES BACKGROUND & METHODS
    HIGHLY INFLUENCED

    FILTER CITATIONS BY YEAR

    2001
    2019

    CITATION STATISTICS

    • 10 Highly Influenced Citations

    References

    Publications referenced by this paper.
    SHOWING 1-5 OF 5 REFERENCES

    CombinedTurbo Equalizationand Turbo Decoding,

    • D. Raphaeliand Y. Zarai
    • IEEECommunicationsLetters, vol. 2,
    • 1998
    VIEW 2 EXCERPTS

    Probability of error in MMSE multiuser detection

    VIEW 1 EXCERPT

    Berrou,, “Iterative Correctionof Intersymbol Interference:Turbo-Equalization,

    • C. Douillard, M. Jéźequel
    • EuropeanTrans.Telecommunications ,
    • 1995
    VIEW 3 EXCERPTS

    Jelinek,andJ.Raviv, “Optimal Decodingof LinearCodesfor Minimizing SymbolError Rate,

    • L. R. Bahl, F.J.Cocke
    • IEEETrans.InformationTheory, vol. IT-20,no.3,
    • 1974
    VIEW 1 EXCERPT