【作者】 王洪香；

【导师】 蔡坤宝；

【作者基本信息】 重庆大学 ， 信号与信息处理， 2011， 硕士

【摘要】 随着无线通信技术的飞速发展,以及互联网与移动通信的融合,高速数据通信服务正在不断增长。多输入多输出(MIMO)技术能够在不损失带宽和发射功率的情况下,成倍地提高系统的容量,并使系统性能得到极大的提高,这些优点使其在频谱资源日益匮乏和系统容量需求急剧增加的今天倍受青睐。信号检测问题是MIMO系统中的一项关键技术问题。本文首先论述了MIMO技术的研究背景、意义以及国内外研究现状,接着介绍了MIMO系统的基本概念,对MIMO系统的信道容量进行分析,同时给出了信道容量的计算公式及不同系统信道容量的仿真结果。V-BLAST系统能够有效利用MIMO系统容量,所以详细介绍了V-BLAST系统的结构、基本原理及其各种传统检测算法,其中包括最大似然检测(ML)、最小均方误差检测算法(MMSE)、迫零检测算法(ZF)、排序的串行干扰抵消算法(OSIC)、QR分解的检测算法与次优的球形译码算法(SD),并运用matlab软件对各种算法的性能进行仿真。由于线性算法的性能较最优检测的性能差距太大,本文重点研究了一种次优的树搜索检测算法,即QRD-M检测算法。着重分析了该算法的原理与实现方法,讨论了基于扩展信道排序的QR分解(MMSE-SQRD),一种减少路径搜索过程中排序复杂度的Sort-free算法。与传统的QRD-M检测算法相比,本文的算法不仅使算法计算复杂度明显减少,还使算法的性能得到了改善。更多还原

【Abstract】 High-speed data communication service is constantly growing with the rapid development of wireless communication technologies, as well as the integration of the Internet and mobile communications. Multiple-input multiple-output (MIMO) technology can improve the system capacity significantly and achieve better system performance without increasing the transmitting power and losing the bandwidth. These advantages make MIMO technology favored in today’s spectrum resources shortage problem when the need of system capacity is still dramatically increasing. Signal detection is a key technical issue of the MIMO system.First, the background, significance and research status of MIMO technology in domestic and overseas are introduced. The basic concepts of MIMO system and channel capacity are also discussed. Furthermore, the formulations of channel capacity and simulation results under different systems are derived. Since the V-BLAST system can sufficiently utilize the capacity of MIMO, the structure of V-BLAST system, basis principles are discussed as well as several traditional detection algorithms such as including ML, MMSE, ZF, OSIC, QR, SQRD, and suboptimal SD. Finally, the performance of various algorithms is provided through Matlab.Compared with the optimal algorithm, the performance of the linear algorithm is poor. The article focuses on a sub-optimal tree search detection algorithm-QRD-M detection algorithm, and analyzes the principle and realization of algorithm. Based on the extended channel ranking QR decomposition, a new algorithm is discussed. The new sort-free algorithm can reduce the complexity of sorting in path searching process. Compared with traditional QRD-M algorithm, the proposed algorithm not only reduces the computational complexity significantly, but also improves the algorithm performance.更多还原