论文标题
部分可观测时空混沌系统的无模型预测
Toward cm-Level Accuracy: Carrier Phase Positioning for IIoT in 5G-Advanced NR Networks
论文作者
论文摘要
高精度定位准确性是未来第五代(5G加速)蜂窝网络的关键特征,以实现各种各样的商业,关键和消费者用例。 5G新无线电(NR)系统依靠(1)基于蜂窝时间/角度/角度的定位方法来为室内环境提供适中的定位精度,远低于这些未来用例的定位要求,以及(2)高度精确的卫星载体/代码基于代码/代码基于代码的定位方法,以限制由Satellite覆盖范围的户外部署。本文定义了相关的标准机制和算法,以使用基于载体相细胞的测量值作为在5G高级NR网络中实现高精度定位估计精度的潜在解决方案。使用高保真系统级别的室内工厂(INF)部署方案评估了提出的定位技术。数值结果表明,与最先进的NR定位方法相比,提出的技术可以显着提高定位精度。我们在本文中的发现还表明,载体相位方法不仅为室外卫星定位提供了室内补充,而且还提供了高精度卫星方法的室外替代品。
High-precision positioning accuracy is among the key features of the future fifth-generation (5G-advanced) cellular networks to enable a wide variety of commercial, critical, and consumer use cases. 5G new radio (NR) systems have relied on (1) cellular temporal/angular-based positioning methods to provide the indoor environments with a moderate positioning accuracy that is well below the positioning requirements of these future use cases and (2) highly precise satellite carrier phase/code-based positioning methods for the outdoor deployments that are limited by the availability of the satellite coverage. This paper defines the relevant standard mechanisms and algorithms to use the carrier phase cellular-based measurements as a potential solution to achieve a high-precision positioning estimation accuracy in 5G-advanced NR networks. The presented positioning technique is evaluated using high-fidelity system-level simulations for indoor factory (InF) deployment scenarios. The numerical results demonstrate that the presented technique can significantly improve the positioning accuracy compared with the state-of-the-art NR positioning methods. Our findings in this paper also show that the carrier phase method not only provides an indoor complement to the outdoor satellite positioning but also provides an outdoor alternative to the high-precision satellite methods.