卷积码盲识别研究与实现..docx

摘要信道编码是现代数字通信系统的核心技术之一，信道编码的参数分析是实现智能通信、通信侦察、网络对抗的必要组成部分。卷积码由于实现简单、纠错性能较强，在很多通信系统中得到应用。论文对卷积码参数的盲识别进行了研究，并对无误码情况下的系统卷积码的参数盲识别进行了仿真。主要工作如下：在介绍线性分组码基本原理的基础上，描述了卷积码的概念和性质，并对卷积码作为一种特殊的分组码进行了深入分析。基于系统分组码的线性特征，介绍了线性分组码盲识别的原理和方法，并借鉴系统线性分组码的盲识别方法，重点研究了系统卷积码的盲参数识别过程。在Matlab环境下，对无误码条件下的1/2码率和1/n码率的卷积码的盲识别进行了仿真分析。对1/2码率的卷积码，可以识别码长、起点、约束长度、校验多项式和生成多项式。1/n码率的卷积码在识别码长、起点和约束长度的基础上，可以通过拆分为多个1/2码率的卷积码，进行校验多项式和生成多项式的识别。关键词：盲识别；线性分组码；卷积码；生成矩阵;校验矩阵。AbstractChannel coding is one of the core technologies of modern digital communication systems. Theanalysis of channel coding parameters is necessaryfor the realization of intelligent communications, reconnaissance and network confrontation. Sinceconvolutional codesare simple and have good error-correcting performance, they were applied in many communications systems. In this thesis, we study blind identification on convolutional encoding parameters, and simulate the process of identification under the condition of no error codes. The major works are as follows:Firstly,we describe the concept and nature of convolutional codesbased on introducing the fundamentals of linear block codes.At the same time, weanalyze convolutional codes as a special type of block codes.Secondly, we describe the blind identification method and principle of linear block codes based on its system characteristics, what is more, we draw blind identification method of convolutional codes.Thirdly,in the Matlab environment, wesimulate the blind identification of rate 1/2 and rate 1/n convolutional codes under the condition of no error codes. For rate 1/2 convolutional codes, we can recognize the code length, origin, length constraints, generation matrix and check matrix.After indenting the code length, origin and length constraints,we can analyze the generation matrix and check matrix ofrate1/n convolutional codes by splitingthem into multiple rate 1/2convolutional codes.Keywords: blind identification , linear block codes , convolutional codes, generation matrix, check ma