Information Theoretic Criterion for Stopping Turbo Iteration

  title={Information Theoretic Criterion for Stopping Turbo Iteration},
  author={Lei Huang and Keith Q. T. Zhang and L. L. Cheng},
  journal={IEEE Transactions on Signal Processing},
Most existing stopping criteria for turbo decoding have their root in hypothesis test, requiring a subjective threshold for decision making. A consequence is that the turbo decoding receiver so-constructed can converge at high signal-to-noise ratios (SNRs) but fails at low SNRs, thereby calling for a new design philosophy for stopping criteria. In this correspondence, the problem is tackled in the framework of information theoretic criterion, which enables the turbo decoding to properly work in… CONTINUE READING
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