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arXiv · 1408.1310

Maximum-likelihood Soft-decision Decoding for Binary Linear Block Codes Based on Their Supercodes

Yunghsiang S. Han·Hung-Ta Pai·Po-Ning Chen·Ting-Yi Wu
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Abstract

Based on the notion of supercodes, we propose a two-phase maximum-likelihood soft-decision decoding (tpMLSD) algorithm for binary linear block codes in this work. The first phase applies the Viterbi algorithm backwardly to a trellis derived from the parity-check matrix of the supercode of the linear block code. Using the information retained from the first phase, the second phase employs the priority-first search algorithm to the trellis corresponding to the linear block code itself, which guarantees finding the ML decision. Simulations on Reed-Muller codes show that the proposed two-phase scheme is an order of magnitude more efficient in average decoding complexity than the recursive maximum-likelihood decoding (RMLD) [1] when the signal-to-noise ratio per information bit is 4.5 dB.

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Yunghsiang S. Han, Hung-Ta Pai, Po-Ning Chen, Ting-Yi Wu. 2014-08-06. Maximum-likelihood Soft-decision Decoding for Binary Linear Block Codes Based on Their Supercodes. https://arxiv.org/abs/1408.1310

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