基于CUDA的一种卷积Turbo码并行译码系统

A Parallel Decoder System of Convolutional Turbo Codes Based on CUDA

移动宽带已经成为人类生产生活中不可或缺的一部分。在移动通讯技术中,物理层支持多种编码方式,其中卷积Turbo码(CTC)的编码效率高,纠错能力强,译码延时小,是各种通信协议标准中非常重要的信道编码方式之一。笔者旨在通过分析CTC编译码原理,提供一种基于CUDA平台的并行软译码系统,相较于传统FPGA实现更加灵活、高效、低廉,在数字通信领域局域具有重要的应用价值。

Mobile broadband has become an indispensable part of human production and life.In mobile communication technology,physical layer supports many kinds of coding methods,among which convolutional turbo code(CTC)has high coding efficiency,strong error correction ability and small decoding delay,which is one of the most important channel coding methods in various communication protocol standards.The purpose of this paper is to provide a kind of parallel soft decoding system based on CUDA platform by analyzing the principle of CTC encoding and decoding.Compared with the traditional FPGA,it is more flexible,efficient and cheap,and has important application value in the field of digital communication.