高阶调制MIMO系统格约减辅助检测算法研究

发布时间：2018-04-11 04:06

本文选题：MIMO技术 + 最大似然　；参考：《南京信息工程大学》2016年硕士论文

【摘要】：近年来,移动通信业务从单一的低速语音数据业务逐步走向了高速率多媒体视频数据业务。这种需求的转变使得原有的频谱资源变得更加紧张,对数据的传输速率以及通信服务质量提出了更高的要求。因此,提高频谱使用率从而加快数据的传输速率是目前亟待解决的问题。多输入多输出(MIMO)技术充分利用空间复用增益和分集增益,在不增加发射功率和频谱的条件下降低了误码率,加快了数据传输速率,改善了通信质量。然而在高阶调制MIMO系统中,接收端信号检测技术的应用会影响系统的检测性能,所以接收端检测算法的设计是本文的研究重点。本文在分析高阶调制MIMO系统的检测技术、系统模型的基础上,针对系统接收端的检测技术方案进行更深层次地研究,主要工作如下：第一,介绍了高阶调制MIMO系统复用技术、信道模型和系统模型,阐述了MIMO系统传统检测算法,主要包括最大似然、线性和非线性检测算法。研究了传统检测算法理论,针对传统检测算法在性能和复杂度之间很难找到折中的问题,在分析ELLL辅助检测算法的基础上,提出了一种改进格约减算法(GLLL),为应用于高阶调制MIMO系统中改进SDR算法的研究奠定基础。第二,针对高阶调制MIMO系统下SDR检测算法的性能还不够理想,本文在结合GLLL算法的基础上提出了一种改进的格约减辅助半正定松弛算法(GLLL-SDR),对信道矩阵进行预处理,获得正交性更强的矩阵,从而提高系统的检测性能。仿真表明,与SDR检测算法相比,GLLL-SDR检测算法在复杂度没有大幅度上升的前提下,提高了算法的检测性能,能够在检测性能和复杂度方面达到很好的平衡,具有实际参考价值。
[Abstract]:In recent years, mobile communication services from a single low-speed voice data service to high-rate multimedia video data services.This change of demand makes the original spectrum resources become more tight, and puts forward higher requirements for the transmission rate of data and the quality of communication service.Therefore, it is an urgent problem to improve the spectrum utilization rate and speed up the data transmission rate.Multi-input multiple-output (MIMOO) technology makes full use of spatial multiplexing gain and diversity gain to reduce bit error rate, speed up data transmission rate and improve communication quality without increasing transmission power and spectrum.However, in high-order modulation MIMO systems, the application of receiver signal detection technology will affect the detection performance of the system, so the design of receiver detection algorithm is the focus of this paper.On the basis of analyzing the detection technology of high-order modulation MIMO system and the system model, this paper makes a deeper research on the detection technology scheme of the system receiver. The main work is as follows: first, the multiplexing technology of high-order modulation MIMO system is introduced.The channel model and system model are used to describe the traditional detection algorithms for MIMO systems, including maximum likelihood, linear and nonlinear detection algorithms.This paper studies the theory of traditional detection algorithm, aiming at the problem that it is difficult to find a compromise between performance and complexity of traditional detection algorithm, based on the analysis of ELLL aided detection algorithm,An improved lattice reduction algorithm (GLL) is proposed, which lays a foundation for the study of improved SDR algorithm in high-order modulation MIMO systems.Secondly, because the performance of SDR detection algorithm in high-order modulation MIMO system is not ideal, an improved lattice reduction assistant positive semidefinite relaxation algorithm (GLLL-SDR) based on GLLL algorithm is proposed in this paper to preprocess the channel matrix.A matrix with stronger orthogonality is obtained to improve the detection performance of the system.The simulation results show that compared with the SDR detection algorithm, the GLLL-SDR detection algorithm improves the detection performance of the algorithm without a significant increase in complexity, and can achieve a good balance between the detection performance and the complexity, and has practical reference value.
【学位授予单位】：南京信息工程大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TN919.3

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