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Practical aspects of iterative decoding

Practical aspects of iterative decoding

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The convergence problem of iterative, block-mode, turbo decoders is discussed and the performance of a practical convergence criterion is presented. A fixed-point approach is used, whereby the saturation and stability characteristics of the extrinsic-probability vector for each MAP decoder are determined by simulation and used to terminate iteration. If these vectors are saturated and identical, or non-saturated and stable, the decoder has converged to a fixed point. The paper also examines the effect of interleaver design and machine precision effects on convergence. Sometimes, finite precision can lead to a limit-cycle effect, and practical solutions are discussed. Once convergence has been established, it can also be used to determine with high confidence the effective dfree of the decoder, even for large block lengths.

References

    1. 1)
      • Divsalar, D., Pollara, F.: `Multiple turbo codes for deep-space communications', JPLTDA progress report, 1995, p. 66–77, vol. 42-121.
    2. 2)
      • A. Ambroze , G. Wade , M. Tomlinson . Iterative MAP decoding for serial concatenated convolutional codes. IEE Proc., Commun. , 2 , 53 - 59
    3. 3)
      • J. Hagenauer , E. Offer , L. Papke . Iterative decoding of binary block and convolutional codes. IEEE Trans. Inf. Theory , 2 , 429 - 445
    4. 4)
      • W. Sawyer . (1978) Numerical functional analysis.
    5. 5)
      • A. Ambroze , G. Wade , M. Tomlinson . Turbo code tree and code performance. Electron. Lett. , 4 , 353 - 354
    6. 6)
      • Robertson, P.: `Illuminating the structure of code and decoder of parallel concatenatedrecursive systematic (turbo) codes', Proceedings of IEEE GLOBECOM, 1994, p. 1298–1303.
    7. 7)
      • McEliece, R., Rodemich, E., Cheng, J.F.: `The turbo decision algorithm', Proceedings of 33rd Allerton conference on Communication,control and computing, 1995.
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