大维度MIMO和空间调制信号检测算法研究
发布时间：2018-10-19 12:06
【摘要】：多输入多输出(MIMO)系统在不增加系统带宽和发送信号功率的情况下,能够获得高频谱效率和高传输可靠性。最近,随着5G技术研究的深入,收发端配置几十甚至上百根天线的大维度(Large-Dimension)MIMO(亦称Large-MIMO)通信系统引起了广泛关注。同时,频率选择性MIMO亦可等效成一个大维度MIMO系统。空间调制是新近提出的一种多天线复用结构,它具有更高的发送端能量效率。大维度MIMO和空间调制都面临的一个重要问题是如何设计高效的信号检测算法。针对空间复用Large-MIMO,本文首先学习了动态禁忌搜索算法以及分层禁忌搜索算法。动态禁忌搜索算法和分层禁忌搜索算法分别在低阶调制和高阶调制场景下能够获得渐进最佳检测性能,但也存在所需迭代次数大而导致的计算复杂度高的问题。因此,接下来,本文学习了格规约辅助线性检测算法,该算法通过使信道传输矩阵更正交化以提高线性检测的性能,相比动态禁忌搜索算法和分层禁忌搜索算法,具有更好的性能复杂度折中。针对频率选择性MIMO,本文首先学习了加循环前缀的频率选择性MIMO系统的动态禁忌搜索算法。然后研究了采用补零的频率选择性MIMO信号检测算法。具体的,提出了双向判决检测、M算法以及基于因子图的高斯近似检测等算法。针对空间调制,本文首先提出了一种改进的空间调制检测算法,该算法对已有的排序分块最小均方误差算法的可靠度度量计算进行修改,使其在正交幅度调制下具有更好的检测性能。另外,针对一种称为广义空时移位键控的空间调制结构,提出了两种低复杂度检测算法:排序的连续球形译码和图样约束序贯蒙特卡罗方法。
[Abstract]:Multiple-input multiple-output (MIMO) systems can achieve high spectral efficiency and high transmission reliability without increasing system bandwidth and transmitting signal power. Recently, with the in-depth study of 5G technology, the large-dimension MIMO (Large-Dimension) MIMO (also called Large-MIMO) communication system of hundreds or even hundreds of antennas has attracted wide attention. Meanwhile, frequency selective MIMO can also be equivalent to a large-dimension MIMO system. spatial modulation is a newly proposed multi-antenna multiplexing structure with higher transmission end energy efficiency. An important problem in large-dimension MIMO and spatial modulation is how to design efficient signal detection algorithm. For spatial multiplexing Large-MIMO, this paper firstly studies the dynamic tabu search algorithm and the hierarchical tabu search algorithm. The dynamic tabu search algorithm and the hierarchical tabu search algorithm can obtain the progressive best detection performance under low-order modulation and high-order modulation scenarios, but also have the problems of high computational complexity due to the large number of iterations needed. Therefore, this paper studies the auxiliary linear detection algorithm of lattice protocol, which improves the performance of linear detection by orthogonalizing the channel transmission matrix, compared with the dynamic tabu search algorithm and the hierarchical tabu search algorithm, and has a better compromise of performance complexity. For frequency selective MIMO, this paper firstly studies the dynamic tabu search algorithm of frequency selective MIMO system with cyclic prefix. Then a frequency selective MIMO (MIMO) signal detection algorithm is studied. In particular, two-way decision detection, M-algorithm and Gaussian approximation algorithm based on factor graph are proposed. In view of spatial modulation, this paper firstly proposes an improved spatial modulation detection algorithm, which modifies the reliability metric calculation of the existing sequencing block minimum mean square error algorithm so as to have better detection performance under orthogonal amplitude modulation. In addition, for a spatial modulation structure called generalized null shift keying, two low complexity detection algorithms are proposed: sequential spherical decoding and pattern constrained sequential Monte Carlo method.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.3;TN919.3
[Abstract]:Multiple-input multiple-output (MIMO) systems can achieve high spectral efficiency and high transmission reliability without increasing system bandwidth and transmitting signal power. Recently, with the in-depth study of 5G technology, the large-dimension MIMO (Large-Dimension) MIMO (also called Large-MIMO) communication system of hundreds or even hundreds of antennas has attracted wide attention. Meanwhile, frequency selective MIMO can also be equivalent to a large-dimension MIMO system. spatial modulation is a newly proposed multi-antenna multiplexing structure with higher transmission end energy efficiency. An important problem in large-dimension MIMO and spatial modulation is how to design efficient signal detection algorithm. For spatial multiplexing Large-MIMO, this paper firstly studies the dynamic tabu search algorithm and the hierarchical tabu search algorithm. The dynamic tabu search algorithm and the hierarchical tabu search algorithm can obtain the progressive best detection performance under low-order modulation and high-order modulation scenarios, but also have the problems of high computational complexity due to the large number of iterations needed. Therefore, this paper studies the auxiliary linear detection algorithm of lattice protocol, which improves the performance of linear detection by orthogonalizing the channel transmission matrix, compared with the dynamic tabu search algorithm and the hierarchical tabu search algorithm, and has a better compromise of performance complexity. For frequency selective MIMO, this paper firstly studies the dynamic tabu search algorithm of frequency selective MIMO system with cyclic prefix. Then a frequency selective MIMO (MIMO) signal detection algorithm is studied. In particular, two-way decision detection, M-algorithm and Gaussian approximation algorithm based on factor graph are proposed. In view of spatial modulation, this paper firstly proposes an improved spatial modulation detection algorithm, which modifies the reliability metric calculation of the existing sequencing block minimum mean square error algorithm so as to have better detection performance under orthogonal amplitude modulation. In addition, for a spatial modulation structure called generalized null shift keying, two low complexity detection algorithms are proposed: sequential spherical decoding and pattern constrained sequential Monte Carlo method.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.3;TN919.3
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