Li Xin, Ekman Torbjörn, Yang Kun
The School of Information Engineering, Zhejiang Ocean University, Zhoushan 316022, China.
The Department of Electronic Systems, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
Sensors (Basel). 2024 Sep 18;24(18):6037. doi: 10.3390/s24186037.
In this paper, we explore the physical propagation environment of radio waves by describing it in terms of distant scattering clusters. Each cluster consists of numerous scattering objects that may exhibit certain statistical properties. By utilizing geometry-based methods, we can study the channel second-order statistics (CSOS), where each distant scattering cluster corresponds to a CSOS, contributes a portion to the Doppler spectrum, and is associated with a state-space multiple-input and multiple-output (MIMO) radio channel model. Consequently, the physical propagation environment of radio waves can be modeled by summing multiple state-space MIMO radio channel models. This approach offers three key advantages: simplicity, the ability to construct the entire Doppler power spectrum from multiple uncorrelated distant scattering clusters, and the capability to obtain the channels contributed by these clusters by summing the individual channels. This methodology enables the reconstruction of the radio wave propagation environment in a simulated manner and is crucial for developing massive MIMO channel models.
在本文中，我们通过用远距离散射簇来描述无线电波的物理传播环境。每个簇由许多可能呈现某些统计特性的散射体组成。通过利用基于几何的方法，我们可以研究信道二阶统计量（CSOS），其中每个远距离散射簇对应一个CSOS，对多普勒频谱贡献一部分，并与一个状态空间多输入多输出（MIMO）无线信道模型相关联。因此，无线电波的物理传播环境可以通过对多个状态空间MIMO无线信道模型求和来建模。这种方法具有三个关键优点：简单性、能够从多个不相关的远距离散射簇构建整个多普勒功率谱，以及能够通过对各个信道求和来获得这些簇贡献的信道。这种方法能够以模拟方式重建无线电波传播环境，对于开发大规模MIMO信道模型至关重要。
