Journal article Open Access
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
This paper proposes a new soft-input soft-output decoding algorithm particularly suited for low-complexity highradix 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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- Publication date:
- December 6, 2019
- DOI:
-
- Keyword(s):
- convolutional codes oft-input soft-ouput decoding soft-ouput Viterbi algorithm high-radix decoding turbo codes high throughput
- Published in:
- IEEE Transactions on Communications:.
- Grants:
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European Commission:
- EPIC - Enabling Practical Wireless Tb/s Communications with Next Generation Channel Coding (760150)
- Meeting:
- IEEE Transactions on Communications
- Related identifiers:
- Supplementary material
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International