信道编译码技术研究

发布时间：2018-07-08 13:56

本文选题：纠错编码 + Turbo码　；参考：《东北石油大学》2014年硕士论文

【摘要】：随着数字信号处理技术、计算机网络技术的快速发展，信道编译码技术的检错、纠错能力在通信系统中的作用日益凸显。信号在通信信道传输过程中由于受到噪声等因素的影响，可能会导致接收信号与发送信号不一致，造成通信失真甚至失败。信道编译码技术可以有效缓解此类问题，通过增加冗余信息等方法使通信信号之间产生依赖关系，形成内部的约束，以此提高信号的抗干扰性。信道编码技术的简化性以及译码算法的有效、快捷性是影响检错、纠错性能的重要因素。因此，根据实际应用情况，在改进通信系统的传输信息可靠性方面，开展信道编译码技术的研究至关重要。本文分析了常用信道编译码技术，，并重点研究了卷积码、Turbo码和LDPC码。针对各类编译码技术的基本原理、译码算法以及在通信系统中的应用进行了分析。本文对多种信道编译码算法的性能进行了仿真，探讨了Turbo码中迭代次数、码长等参数和译码算法对其纠错性能的影响，并进行了LDPC码的性能分析。将LDPC码与Turbo码在性能和复杂度等方面进行了对比分析，得到各自的优缺点，为两种码型的应用提供了理论依据。针对Turbo码提出了分量码的改进方法，针对LDPC码提出了生成校验矩阵的新方法，改善了原有码型的纠错性能。
[Abstract]:With the rapid development of digital signal processing technology and computer network technology, the error detection and error correction ability of channel coding and decoding technology are becoming more and more important in communication systems. Due to the influence of noise and other factors during the transmission of the signal in the communication channel, the received signal may be inconsistent with the transmitted signal, resulting in distortion or even failure of the communication. The channel coding and decoding technology can effectively alleviate this kind of problem, by adding redundant information and other methods, the communication signals can be dependent on each other, forming internal constraints, so as to improve the anti-jamming ability of the signals. The simplification of channel coding and the efficiency of decoding algorithm are the important factors that affect the performance of error detection and correction. Therefore, according to the practical application, it is very important to develop the channel coding and decoding technology to improve the reliability of the transmission information in the communication system. This paper analyzes the common channel coding and decoding techniques and focuses on convolutional codes Turbo codes and LDPC codes. The basic principle, decoding algorithm and application in communication system are analyzed. In this paper, the performance of various channel coding and decoding algorithms is simulated, and the effects of iteration times, code length and decoding algorithm on the error correction performance of Turbo codes are discussed, and the performance of LDPC codes is analyzed. The performance and complexity of LDPC codes and Turbo codes are compared and analyzed, and their advantages and disadvantages are obtained, which provide a theoretical basis for the application of the two codes. An improved method of component codes for Turbo codes and a new method for generating check matrices for LDPC codes are proposed to improve the error-correcting performance of the original codes.
【学位授予单位】：东北石油大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.22

【共引文献】