论文标题
基于多维正交匹配追踪
Low complexity joint position and channel estimation at millimeter wave based on multidimensional orthogonal matching pursuit
论文作者
论文摘要
尽管使用了模拟和混合体系结构，但压缩方法提供了一种有效通道高分辨率通道估计的方法。此类估计值也可以用作联合通道估计和定位解决方案的一部分。但是，实现良好的本地化性能需要高分辨率的频道估计和更好的方法来利用这些渠道。在本文中，我们提出了低复杂性多维正交匹配策略，用于通过用独立词典为角度和延迟域的独立词典操作而不是全球大词典，以实现压缩通道估计。这导致了更高质量的频道估计值，但比常规解决方案的概括较低。我们将这种新算法与一种新型的定位公式相结合，该公式不依赖于LOS路径到达的绝对时间，并利用室内通道中反射的结构。我们展示了新方法如何在现实的3D方案中运行以估计通信渠道并在室内模拟设置中找到设备。
Compressive approaches provide a means of effective channel high resolution channel estimates in millimeter wave MIMO systems, despite the use of analog and hybrid architectures. Such estimates can also be used as part of a joint channel estimation and localization solution. Achieving good localization performance, though, requires high resolution channel estimates and better methods to exploit those channels. In this paper, we propose a low complexity multidimensional orthogonal matching pursuit strategy for compressive channel estimation based by operating with a product of independent dictionaries for the angular and delay domains, instead of a global large dictionary. This leads to higher quality channel estimates but with lower complexity than generalizations of conventional solutions. We couple this new algorithm with a novel localization formulation that does not rely on the absolute time of arrival of the LoS path and exploits the structure of reflections in indoor channels. We show how the new approach is able to operate in realistic 3D scenarios to estimate the communication channel and locate devices in an indoor simulation setting.
