MIMO Detection Methods: How They Work [Lecture Notes]
MIMO Detection Methods: How They Work [Lecture Notes]
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DOI：
10.1109/msp.2009.932126
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发表时间：
2009-04
影响因子：
14.9
通讯作者：
E. Larsson
中科院分区：
文献类型：
--
作者：
E. Larsson
本讲座的目的是概述通信接收器环境中的方法。哪种方法在实践中是最好的？这在很大程度上取决于求解的目的：可以容忍的错误率是多少，性能的最终衡量标准是什么（例如，帧错误率、最坏情况复杂性或平均复杂性）以及使用什么计算平台。另外，s中的比特可以是较大码字的一部分，并且该码字中的不同s向量可以看到相同的H（慢衰落）或H（快衰落）的许多不同实现。这使情况变得复杂，因为在慢衰落中重要的概念（例如空间分集）在快衰落中不太重要，其中分集无论如何都是由时间变化提供的。十多年来，MIMO 检测一直是一个活跃的领域，并且这项研究可能会持续一段时间。
The goal of this lecture has been to provide an overview of approaches, in the communications receiver context. Which method is the best in practice? This depends much on the purpose of solving : what error rate can be tolerated, what is the ultimate measure of performance (e.g., frame-error-rate, worst-case complexity, or average complexity), and what computational platform is used. Additionally, the bits in s may be part of a larger code word and different s vectors in that code word may either see the same H (slow fading) or many different realizations of H (fast fading). This complicates the picture, because notions that are important in slow fading (such as spatial diversity) are less important in fast fading, where diversity is provided anyway by time variations. Detection for MIMO has been an active field for more than ten years, and this research will probably continue for some time.