论文标题
5G本地化的链接级模拟器
Link-level simulator for 5G localization
论文作者
论文摘要
与以前的通信网络相比，在5G网络中基于频道信息的本地化是获得高度准确位置的一种有希望的方法。但是，没有统一和有效的平台来支持5G定位算法的研究。本文释放了用于5G定位的链接级模拟器，该模拟器可以描述5G定位信号传输的现实物理行为。具体而言，我们首先考虑了更精细的参数配置和物理层处理的仿真体系结构。该体系结构支持Sub-6GHz和毫米波（MMWAVE）频段的链接建模。随后，设计和集成了确定定位性能的关键物理层组件。特别是，开发了显着限制参数估计精度的轻质新Radio通道模型和硬件损伤功能。最后，我们提出了三种应用程序案例来评估模拟器，即二维移动终端定位，MMWave光束清除和基于光束成形的角度估计。在应用程序案例中，数值结果呈现出在各种损害条件下定位算法的性能多样性。
Channel-state-information-based localization in 5G networks has been a promising way to obtain highly accurate positions compared to previous communication networks. However, there is no unified and effective platform to support the research on 5G localization algorithms. This paper releases a link-level simulator for 5G localization, which can depict realistic physical behaviors of the 5G positioning signal transmission. Specifically, we first develop a simulation architecture considering more elaborate parameter configuration and physical-layer processing. The architecture supports the link modeling at sub-6GHz and millimeter-wave (mmWave) frequency bands. Subsequently, the critical physical-layer components that determine the localization performance are designed and integrated. In particular, a lightweight new-radio channel model and hardware impairment functions that significantly limit the parameter estimation accuracy are developed. Finally, we present three application cases to evaluate the simulator, i.e. two-dimensional mobile terminal localization, mmWave beam sweeping, and beamforming-based angle estimation. The numerical results in the application cases present the performance diversity of localization algorithms in various impairment conditions.
