无线电工程2016，Vol.46Issue(7)：17-20,92,5.DOI:10.3969/j.issn.1003-3106.2016.07.05
基于GPU的RS码并行译码算法研究
Research on GPU-Based RS-code Parallel Decoding Algorithm
摘要
Abstract
The low parallel performance of BMA decoding algorithm in RS-code hardware decoder results in high decoding delay and low decoding speed.Aiming at this problem,this paper studies RS-code high-speed parallel decoding algorithm and software imple-ment method,designs and implements a GPU-based RS-code parallel decoding algorithm cuPGZ.The experimental results show that by leveraging the massive cores inside a GPU card,590 Mbps in decoding rate and 0.5 ms in decoding delay for RS code (255,223) recommended by CCSDS can be obtained with 128 bits error.Compared to GPU-based BMA,cuPGZ increases one times in decoding rate and decreases 60x in deoding delay.The practical engineering application shows that the cuPGZ can meet the actual engineering require-ments in high speed channel decoding.关键词
RS码/译码/PGZ/并行/GPUKey words
RS-code/decoding/PGZ/parallel/GPU分类
信息技术与安全科学引用本文复制引用
赵正伟,邓剑锋..基于GPU的RS码并行译码算法研究[J].无线电工程,2016,46(7):17-20,92,5.基金项目
国家部委基金资助项目。 （）
