文档介绍:摘要
MIMO现在已经为未来无线通信体系中的一个重要技术构建。本文先介绍介绍MIMO的发展历程和发展情况,再介绍MIMO模型,它的关键技术以及其信道容量问题。随后介绍OFDM模型,对其中的几个关键技术进行了简要说明。
本文重点是第五部分,主要介绍一种可以用高斯广播信道中的迭代多波束形成算法(IMB),这种算法在天线配置上很灵活,而且在较低的平稳的数据传输速率下表现出了良好的性能。这里的多用户高斯广播信道是在发射器和接受器上安装多个天线而成。然后通过仿真把IMB和传统的ZF进行的误码率性能的比较。从仿真结果我们可以看出低速到中等的数据传输速率下,迭代多波束形成算法要大大优于迫零算法。
关键词:MIMO OFDM 广播信道迭代多波束形成算法
ABSTRACT
MIMO has e an important technology in future munications systems. The Multiple Input Multiple Output technology can dramatically increase capacity. MIMO will e one of the key technology of the next munication system. This article first introduced the development process of MIMO and development, and then introduced the MIMO model, its key technologies, as well as its channel capacity. Then we will introduce the OFDM model and
give a brief description about its key technologies.
This article focuses on Part V. We consider multiuser Gaussian broadcast channels with multiple antennas at both transmitter and receivers. An iterative multiple beam-forming algorithm is proposed, which is flexible in the antenna configuration and performs well in low to moderate data rates. Its bit error rate performance pared with the ones achieved by the traditional zero-forcing method. From the simulation results we can see that the iterative multi-beam forming algorithm is much better than the zero-forcing algorithm at a low to moderate data rates.
Keywords:MIMO OFDM Broadcast channels
Iterative Multiple Beam-forming (IMB)
目录
第一章绪论 1
引言 1
MIMO的发展概述 1
MIMO技术发展过程 2
MIMO的研究状况 3
本文的主要工作 3
第二章 MIMO系统描述及几个关键技术 5
MIMO系统模型 5
MIMO的主要技术术语 6
6
7
7
10
10
11
第三章 MIMO系统的容量问题 13
MIMO系统容量的概念 13
14
14
15
18
SIMO信道容量 18
MISO信道容量 18
19
20
21
第四章正交频分复用(OFDM)技术 23
23
传统的频域信道估计和检测算法 27
第五章 MIMO信道传播特性及迭代多波束形成算法 31
31
一种适用于MI