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SNR mismatch and online estimation in turbo decoding

机译:Turbo解码中的SNR不匹配和在线估计

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摘要

Iterative decoding of turbo codes, as well as other concatenated coding schemes of similar nature, requires knowledge of the signal-to-noise ratio (SNR) of the channel so that proper blending of the a posteriori information of the separate decoders is achieved. We study the sensitivity of decoder performance to misestimation of the SNR, and propose a simple online scheme that estimates the unknown SNR from each code block, prior to decoding. We show that this scheme is sufficiently adequate in accuracy to not appreciably degrade the performance.
机译:对turbo码以及其他类似性质的级联编码方案进行迭代解码,需要了解信道的信噪比(SNR),以便对各个解码器的后验信息进行适当的混合。我们研究了解码器性能对SNR误估计的敏感性,并提出了一种简单的在线方案,该方案可以在解码之前从每个代码块估计未知SNR。我们证明了该方案在精度上足够充分,不会明显降低性能。

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