非合作解调数据的帧结构分析

发布时间：2018-06-15 02:29

本文选题：帧结构 + 线性反馈移位寄存器　；参考：《电子科技大学》2014年硕士论文

【摘要】：非合作解调数据的帧结构分析是信息处理的重要组成部分,对它的研究是信息获取领域的重要课题。非合作解调数据的帧结构分析以期获得对通信传输帧封装结构的最大理解,主要包括帧同步、扰码识别、信道编码识别和系统信息分析等。过去主要集中在盲帧同步、信道编码盲识别及扰码盲识别等领域,分析相互独立且适用条件有限。而通信系统模块间构成输入输出关系,存在算法适用条件不满足的情况,公开发表的关于通信系统结构和信道编码与扰码的复合码的识别研究结果较少。本文对非合作通信解调数据的帧结构进行分析,特别针对信道编码与扰码的复合码识别展开研究,总结起来主要包括如下几个方面:1.以实际通信系统为例,对其帧封装结构进行对比分析,总结了一种适用于外同步且帧同步信息相同、信道编码与扰码复合的通信系统帧封装结构,全文以此结构展开分析。2.仿真验证了扰码识别算法,盲帧同步序列估计算法;分析了经过信道编码前后序列的0、1不平衡性及数字特性的变化。由此得到了扰码识别算法不适用于信道编码与扰码的复合码的扰码识别的结论。3.分析得到了线性分组码和卷积码码字间异或得到的码字仍为原码字空间中的码字的性质,扰码抵消算法利用这个性质可以构造信道编码与扰码的复合码的信道编码数据。针对帧间扰码相同的帧结构,提出了一种基于扰码抵消的构造复合码信道编码数据的算法。仿真验证基于对偶码的复合码的扰码识别算法是有效的,并在存在误码时,将算法改进为基于校验矩阵的复合码的扰码识别算法。4.针对帧间扰码不同的帧结构,提出了一种复合码的同步盲识别算法。误码下对基于扰码抵消的对偶码和校验矩阵的复合码盲识别算法以及复合码的同步盲识别算法做出改进;仿真结果表明改进算法对接收数据量要求增大,但计算量下降,抗误码性能更优;基于扰码抵消和校验矩阵的复合码盲识别性能最优,基于扰码抵消和对偶码的复合码盲识别算法其次,复合码的同步盲识别算法最差。
[Abstract]:Frame structure analysis of non-cooperative demodulation data is an important part of information processing, and its research is an important subject in the field of information acquisition. The frame structure analysis of non-cooperative demodulation data is aimed at obtaining the maximum understanding of the frame encapsulation structure of communication transmission, including frame synchronization, scrambling code identification, channel coding identification and system information analysis. In the past, blind frame synchronization, channel coding blind recognition and scrambling code blind recognition were mainly concentrated in the past. However, due to the input-output relationship between the modules of the communication system, there are some cases where the applicable conditions of the algorithm are not satisfied. There are few published research results on the structure of the communication system and the identification of the complex codes of the channel coding and scrambling codes. In this paper, the frame structure of demodulated data in non-cooperative communication is analyzed, especially for the identification of complex codes of channel coding and scrambling code, which includes the following aspects: 1. Taking the actual communication system as an example, the frame encapsulation structure of the communication system is compared and analyzed, and a frame encapsulation structure suitable for external synchronization with the same frame synchronization information and composite channel coding and scrambling code is summarized. Simulation verifies the scrambling identification algorithm and blind frame synchronization sequence estimation algorithm, and analyzes the variation of the unbalance and digital characteristics of the sequence before and after the channel coding. It is concluded that the scrambling code recognition algorithm is not suitable for the scrambling code recognition of the complex code of channel coding and scrambling code. In this paper, we obtain the property that the code words obtained by the XOR between linear block code and convolutional code are still codewords in the original code space, and the scrambling code cancellation algorithm can construct the channel coded data of the complex code of channel coding and scrambling code by using this property. For the frame structure with the same scrambling code between frames, an algorithm based on scrambling cancellation is proposed to construct the coded data of complex code channel. Simulation shows that the scrambling code recognition algorithm based on dual code is effective, and when there is error code, the algorithm is improved to a scrambling code recognition algorithm based on check matrix. A synchronization blind recognition algorithm for complex codes is proposed for frame structures with different scrambling codes. Under the error code condition, the blind identification algorithm of dual code and check matrix based on scrambling code cancellation and the algorithm of synchronous blind recognition of complex code are improved. The simulation results show that the improved algorithm requires more received data, but the calculation amount decreases. The blind recognition performance of complex codes based on scrambling cancellation and check matrix is optimal, the blind recognition algorithm of complex codes based on scrambling cancellation and dual code is the second, and the synchronization blind recognition algorithm of complex codes is the worst.
【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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