信道编码中卷积码和级联码的识别

发布时间：2018-01-12 19:39

本文关键词：信道编码中卷积码和级联码的识别　出处：《电子科技大学》2014年硕士论文　论文类型：学位论文

更多相关文章： 信道编码 卷积码 级联码 参数识别

【摘要】：在无线通信中,信道编码的加入是为了抵抗通信过程中的干扰噪声。卷积码、级联码作为常用的信道编码,被广泛用于无线通信中。所以,他们的参数识别在信息截获、智能通讯等领域显得尤为重要。本文研究了卷积码和级联码的编码特点和所要识别参数的识别方法,并根据这些特点建立了一套完整的编码参数识别流程方法,本文主要内容安排包括:介绍了目前关于RS码、卷积码和交织参数识别中需要识别出的参数类型以及他们识别的基本原理和识别的基础算法。根据卷积码的编码特点,对于1/n码率的卷积码可以将1/2码率卷积码识别算法推广到1/n码率卷积码。该算法在估计1/n码率的生成矩阵时用欧几里得算法,容错性能较好,所需数据量比较小,并且计算速度也比较快。根据卷积码等效生成矩阵的概念,将系统卷积码的参数估计推广到k/n卷积码。该算法采用核空间求解,实现了一定程度的容错性。根据不同码率卷积码的特点,提出了卷积码的总体识别算法,实现了任意码率卷积码从码长、码率到生成多项式的总体估计。讨论级联码的识别方法,由于级联码目前还没有相关的识别算法可供参考,在识别之前,首先研究了级联码的编码特性和码字特点,然后根据级联码的特点提出了一种分级识别的级联码识别算法。仿真实验表明,该算法能够有效的识别出级联码的内码外码参数。在误码率为0.005的情况下,检测概率依然在90%以上。研究了实际的映射中存在的相位模糊问题,讨论了映射对参数识别的影响,研究了一种关于映射和编码类型和编码参数统一识别的算法。考虑了映射中相位模糊对编码参数的影响,实现了映射关系和编码参数的联合估计。保证了在实际的信道编码参数估计中参数的正确性。
[Abstract]:In wireless communication, channel coding is added to resist interference noise. Convolutional codes, concatenated codes are widely used in wireless communication as common channel coding. Their parameter identification is particularly important in the fields of information interception and intelligent communication. This paper studies the coding characteristics of convolutional code and concatenated code and the identification method of the parameters to be identified. According to these characteristics, a set of complete coding parameter identification process is established. The main contents of this paper are as follows: the current RS code is introduced. The types of parameters needed to be recognized in convolutional code and interleaved parameter recognition, the basic principles and algorithms of their recognition, according to the coding characteristics of convolutional codes. The 1/2 bit rate convolutional code recognition algorithm can be extended to 1 / n rate convolutional code for 1 / n rate convolutional code. Euclidean algorithm is used to estimate the generating matrix of 1 / n bit rate, and the fault-tolerant performance is good. According to the concept of equivalent generation matrix of convolutional codes, the parameter estimation of system convolutional codes is extended to k / n convolutional codes. The algorithm is solved by kernel space. According to the characteristics of convolutional codes at different bit rates, the overall recognition algorithm of convolutional codes is proposed, and the slave code length of convolutional codes at arbitrary rate is realized. The recognition method of concatenated code is discussed. Because there is no related recognition algorithm for concatenated code at present, it is before the recognition of concatenated code. Firstly, the coding characteristics and codeword characteristics of concatenated codes are studied, and then a concatenated code recognition algorithm is proposed according to the characteristics of concatenated codes. The algorithm can effectively identify the internal code parameters of concatenated codes. The detection probability is still above 90% when the BER is 0.005. The phase ambiguity problem in the actual mapping is studied. This paper discusses the effect of mapping on parameter identification, studies an algorithm for uniform recognition of mapping and coding types and coding parameters, and considers the effect of phase ambiguity on coding parameters in mapping. The joint estimation of mapping relation and coding parameters is realized, which ensures the accuracy of the parameters in the actual channel coding parameter estimation.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.22

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