FTN传输系统干扰信号消除技术研究

发布时间：2018-01-22 20:17

本文关键词： FTN 干扰信号消除信道编码自适应均衡 Turbo均衡　出处：《西南交通大学》2016年硕士论文　论文类型：学位论文

【摘要】：当前,无线电频谱资源匮乏的状况日益突出,为达到在有限频谱资源的前提下实现更高频谱效率通信的目标,需要研究新的技术。超奈奎斯特(Faster than Nyquist, FTN)传输技术允许信号以高于Nyquist速率的数据速率进行传输,可提供比传统正交传输技术更高的吞吐率与系统容量。伴随着芯片处理速度的不断提高,FTN传输技术正成为5G及未来无线通信系统中新的核心技术。而FTN传输不可避免地引入了码间串扰,导致接收机实现难度加大。本文主要针对单载波FTN传输系统干扰信号消除技术展开研究。首先,在广泛阅读国内外文献的基础上,详细分析了FTN技术研究现状,并归纳总结了FTN传输技术与传统正交传输技术及部分响应系统的异同点。其次,对Mazo理论进行了推导验证,通过仿真分析FTN传输系统的归一化容量及其频带利用率,说明了FTN传输技术的优势之处,并详细介绍了FTN信号成型方法。再次,基于不同信道编译码技术,研究了卷积码编译码和Turbo码编译码的FTN传输系统,且首次将低密度奇偶校验码(LDPC)编码用于FTN传输系统,并详细分析比较了影响FTN传输系统性能的参数,重点对不同FTN加速因子下的系统性能展开了研究。然后,出于对频选信道下的FTN传输系统展开研究的目的,首次构造了一种基于自适应均衡技术的FTN传输系统结构,并提出了一种改进的白适应均衡算法,该改进算法既可提升收敛速率又能维持较低的计算复杂度,仿真结果表明该算法可自适应应用于不同场景；接着,通过仿真分析研究了以典型ISI信道为代表的静态无线信道下基于Turbo均衡的FTN传输系统,获得了较好的误码率性能。最后,对全文工作进行了总结,并对后续研究工作进行了展望。
[Abstract]:At present, the lack of radio spectrum resources is increasingly prominent, in order to achieve the goal of achieving a higher spectrum efficiency communication under the premise of limited spectrum resources. New technologies need to be studied. The super Nyquist than (FT N N N n) technology allows signals to be transmitted at a data rate higher than the Nyquist rate. It can provide higher throughput and system capacity than the traditional orthogonal transmission technology, with the continuous improvement of chip processing speed. FTN transmission technology is becoming a new core technology in 5G and future wireless communication systems, and FTN transmission inevitably introduces inter-symbol crosstalk. This paper mainly focuses on the single carrier FTN transmission system interference signal cancellation technology. Firstly, on the basis of extensive reading of domestic and foreign literature. The research status of FTN technology is analyzed in detail, and the similarities and differences between FTN transmission technology and traditional orthogonal transmission technology and partial response system are summarized. Secondly, the theory of Mazo is deduced and verified. Through the simulation analysis of the normalized capacity and frequency band utilization of FTN transmission system, the advantages of FTN transmission technology are explained, and the FTN signal shaping method is introduced in detail. Thirdly. Based on the different channel coding and decoding techniques, the convolutional decoding and Turbo decoding FTN transmission systems are studied, and the low density parity check code (LDPC) coding is used in FTN transmission system for the first time. The parameters that affect the performance of FTN transmission system are analyzed and compared in detail, and the system performance under different FTN acceleration factors is studied. For the purpose of researching FTN transmission system in frequency-selected channel, a FTN transmission system structure based on adaptive equalization technology is constructed for the first time, and an improved white adaptive equalization algorithm is proposed. The improved algorithm can not only increase the convergence rate but also maintain low computational complexity. The simulation results show that the algorithm can be adaptively applied to different scenarios. Then, the FTN transmission system based on Turbo equalization in the static wireless channel represented by typical ISI channel is studied by simulation, and the BER performance is obtained. Finally. This paper summarizes the work of this paper and looks forward to the future research work.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TN911.4

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