Asymptotic single-trial strategies for GMD decoding with arbitrary error-erasure tradeoff

@article{Weber2012AsymptoticSS,
  title={Asymptotic single-trial strategies for GMD decoding with arbitrary error-erasure tradeoff},
  author={Jos H. Weber and Vladimir R. Sidorenko and Christian Senger and Khaled A. S. Abdel-Ghaffar},
  journal={Problems of Information Transmission},
  year={2012},
  volume={48},
  pages={324-333}
}
Generalized minimum distance (GMD) decoders allow for combining some virtues of probabilistic and algebraic decoding approaches at a low complexity. We investigate single-trial strategies for GMD decoding with arbitrary error-erasure tradeoff, based on either erasing a fraction of the received symbols or erasing all symbols whose reliability values are below a certain threshold. The fraction/threshold may be either static or adaptive, where adaptive means that the erasing is a function of the… 
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Methods Citations
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3 Citations

On Asymptotic Strategies for GMD Decoding with Arbitrary Error-Erasure Tradeoff
TLDR
This work investigates different erasing strategies based on either erasing a fraction of the received symbols or erasing all symbols whose reliability values are below a certain threshold, using multi-trial GMD Forney’s decoder.
On multi-trial Forney-Kovalev decoding of concatenated codes
TLDR
The optimal erasing strategy and the error correcting radii of both fixed and adaptive erasing decoders are given.
Zipper Codes: High-Rate Spatially-Coupled Codes with Algebraic Component Codes
TLDR
Software simulation results show that adding erasure symbols improves the coding gain by around 0.1 dB with only a small increase in memory overhead and decoding complexity, and the types of stall patterns that can arise in zipper codes are analyzed.

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