Revisiting the Max-Log-Map algorithm with SOVA updates rules: new simplifications for high-radix SISO decoders - Archive ouverte HAL Access content directly
Journal Articles IEEE Transactions on Communications Year : 2020

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

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Abstract

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

hal-02332503 , version 1 (24-10-2019)

Identifiers

Cite

Vinh Hoang Son Le, Charbel Abdel Nour, Emmanuel Boutillon, Catherine Douillard. Revisiting the Max-Log-Map algorithm with SOVA updates rules: new simplifications for high-radix SISO decoders. IEEE Transactions on Communications, 2020, 68 (4), pp.1991-2004. ⟨10.1109/TCOMM.2020.2966723⟩. ⟨hal-02332503⟩
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