Reduced-complexity Non-Binary LDPC decoder for high-order Galois fields based on Trellis Min-Max algorithm

Abstract

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Non-binary LDPC codes outperform its binary counterparts in different scenarios. However, they require a considerable increase in complexity, especially in the check-node processor, for high-order Galois fields higher than GF(16). To overcome this drawback, we propose an approximation for the Trellis Min-Max algorithm which allows us to reduce the number of exchanged messages between check node and variable node compared to previous proposals from literature. On the other hand, we reduce the complexity in the check-node processor, keeping the parallel computation of messages. We implemented a layered scheduled decoder, based on this algorithm, in a 90nm CMOS technology for the (837,723) NB-LDPC code over GF(32) and the (1536,1344) over GF(64), achieving an area saving of 16% and 36% for the check-node and 10% and 12% for the whole decoder, respectively. The throughput is 1.07 Gbps and 1.26 Gbps, which outperforms the state-of-the-art of high-rate decoders with high GF order from literature.This work was supported in part by the Spanish Ministerio de Ciencia e Innovacion under Grant TEC2011-27916 and Grant TEC2012-38558-C02-02 and in part by Generalitat Valenciana under Grant GV/2014/011.Lacruz, JO.; García Herrero, FM.; Canet Subiela, MJ.; Valls Coquillat, J. (2016). Reduced-complexity Non-Binary LDPC decoder for high-order Galois fields based on Trellis Min-Max algorithm. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 1-11. https://doi.org/10.1109/TVLSI.2016.2514484S11

    Similar works

    Full text

    thumbnail-image

    Available Versions