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Revisiting the Max-Log-Map algorithm with SOVA updates rules: new simplifications for high-radix SISO decoders

Le, Vinh Hoang Son; Abdel Nour, Charbel; Boutillon, Emmanuel; Douillard, Catherine


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    "description": "<p>This paper proposes a new soft-input soft-output&nbsp;decoding algorithm particularly suited for low-complexity highradix&nbsp;turbo decoding, called local soft-output Viterbi algorithm&nbsp;(local SOVA). The local SOVA uses the forward and backward&nbsp;state metric recursions just as the conventional Max-Log MAP (MLM) algorithm does, and produces soft outputs&nbsp;using the SOVA update rules. The proposed local SOVA exhibits&nbsp;a lower computational complexity than the MLM algorithm&nbsp;when employed for high-radix decoding in order to increase&nbsp;throughput, while having the same error correction performance&nbsp;even when used in a turbo decoding process. Furthermore, with&nbsp;some simplifications, it offers various trade-offs between error&nbsp;correction performance and computational complexity. Actually,&nbsp;employing the local SOVA algorithm for radix-8 decoding of the&nbsp;LTE turbo code reduces the complexity by 33% without any&nbsp;performance degradation and by 36% with a slight penalty of&nbsp;only 0.05 dB. Moreover, the local SOVA algorithm opens the door&nbsp;for the practical implementation of turbo decoders for radix-16&nbsp;and higher.</p>", 
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    "title": "Revisiting the Max-Log-Map algorithm with SOVA updates rules: new simplifications for high-radix SISO decoders", 
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      "convolutional codes", 
      "oft-input soft-ouput decoding", 
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    "publication_date": "2019-12-06", 
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