MIMO系统线性预编码与功率分配研究.docVIP

摘要 洛阳理工学院毕业设计（论文） PAGE IV PAGE 1 MIMO系统线性预编码和功率分配研究 摘 要 多输入多输出(MIMO)技术被认为是现代通信技术中的重大突破之一，可有效地利用空间资源提高系统容量，是未来无线通信系统中实现高数据速率传输、改善传输质量、提高系统容量的重要途径，因此成为无线通信领域的研究热点。 为解决MIMO系统尤其是多用户MIMO系统中的信号间的干扰问题及信道容量问题，本文首先简单介绍了MIMO系统模型及MIMO系统的信道容量、信道信息状态。 然后，在发射端完全信道信息状态(CSI)的前提下，对迫零算法进行简单的介绍，重点是研究块对角化(BD)迫零准则下预编码方案算法。并在块对角化（BD）预编码方案下进一步结合平均功率算法和功率注水算法进行MATLAB仿真。 最后，通过相关数据整理，MATLAB仿真图进行比较分析，得出结论：在块对角化（BD）预编码方案下的功率注水算法信道容量大。 关键词：多用户MIMO，预编码，功率分配，MATLAB，注水算法 THE MIMO SYSTEM OF LINEAR PRECODING AND POWER ALLOCATION RESEARCH ABSTRACT Multiple Input Multiple Output (MIMO) technology is considered as one of the biggest breakthrough in modern telecommunication area. As an important technology in wireless telecommunication field, MIMO can realize high speed data transmission, improve transmission quality and increase system capacity by taking advantage of space resource. Because of this, MIMO has become the research hotspot. To solve signal interference problem in MIMO system, especially multiple-user MIMO system and the problem of channel capacity, MIMO system model and channel capacity information state are briefly introduced first. Then, zero forcing algorithm is briefly introduced on the premise of transmitting terminal full channel status information (CSI). The key point of this thesis is placed on pre-coding scheme algorithm under the Block Diagonalization (BD) zero forcing criterions. Combined with average power algorithm power water-filling algorithm, MATLAB simulation is done under Block Diagonalization pre-coding scheme. At last, conclusion is made through relative data reduction and MATLAB simulation diagram analysis: In Block Diagonalization pre-coding scheme, power water-filling algorithm channel capacity is larger. KEY WORDS: MIMO, linear precoding, MATLAB, power allocation, water-filling algorithm 前言 目　录 TOC \o 1-3 \h \z \u 前　言 1 第1章 绪论 3 1.1 课题研究依据和意义 3 1.2 MIMO技术发展的历程及国内外研究动态 4 1.3 本文重要内容及结构安排 5 第2章 MIMO技术的基本理论 7 2.1 MIMO系统模型 7 2.2 MIMO系统