A parallel MAP algorithm for low latency turbo decoding |
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Authors: | Seokhyun Yoon Bar-Ness Y |
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Affiliation: | Center for Commun. & Signal Process. Res., New Jersey Inst. of Technol., Newark, NJ; |
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Abstract: | To reduce the computational decoding delay of turbo codes, we propose a parallel algorithm for maximum a posteriori (MAP) decoders. We divide a whole noisy codeword into sub-blocks and use multiple processors to perform sub-block MAP decoding in parallel. Unlike the previously proposed approach with sub-block overlapping, we utilize the forward and backward variables computed in the previous iteration to provide boundary distributions for each sub-block MAP decoder. Our scheme depicts asymptotically optimal performance in the sense that the BER is the same as that of the regular turbo decoder |
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