MIMO无线信道建模及性能评估

Modeling and Performance Evaluation of the MIMO Radio Channel

基于开阔地随机模型假设,分析了多天线无通信系统的典型统计模型和物理模型两种信道建模技术,推导出基于空间衰落相关性的克罗内克积模型和基于路径的统计簇模型,并通过仿真比较了两种模型的性能。结合多天线信道矩阵的特征分析方法,设计利用多天线系统并行子信道的MEA-SVD算法来获得高的阵列增益。该算法包括跟踪和训练两种工作模式。考虑克罗内克积信道模型时,我们对接收机采用MEA-SVD算法时系统性能进行仿真评估,并指出了在实际应用中存在的局限性。

Anoral chonnel wireless radio channels. With SLAC assumption, we provide the full spatial correlation properties which contribution from both transmitter and receiver, based on MCN＇ model. A comparison to the more accurate SVA＇ physical channel models is then simulated. The structure of MEA - SVD＇s training and tracking modes are proposed which is shown to be crucial for the DSP algorithm of a MIMO transceiver. We discuss the SER performance of the parallel independent channels from a eigenanalysis point of view, and subsequently explain the physical restrictions on the MIMO setup imposed by the MCN＇model using the MEA -SVD algorithm.