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arXiv 2004.07380cs.ITeess.SPmath.IT
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GNSS环境下自主车辆5G辅助定位性能分析

Performance Analysis for Autonomous Vehicle 5G-Assisted Positioning in GNSS-Challenged Environments

Zohair Abu-Shaban, Gonzalo Seco-Granados, Craig R. Benson, Henk Wymeersch

备注：
This paper has been accepted for publications in the proceedings of the IEEE/ION Position Location and Navigation Symposium (PLANS) 2020. Personal use of this material is permitted. However, permission to use this material for any other purposes must be obtained from the IEEE by sending a request to pubs-permissions@ieee.org
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摘要：

已知独立的全球导航卫星系统（GNSS）在开放天空条件下提供几米的定位精度。当到一些GNSS卫星的视线（LOS）路径被阻挡时，例如，在城市峡谷或地下隧道中。为了克服这一问题，一般的做法通常是用其他专用子系统来增强GNSS系统，以帮助弥补因视线模糊而产生的差距。5G定位最近引起了一些关注，主要是由于使用5G信号和基础设施提供厘米级精度的可能性，有效地不增加额外成本。在本文中，我们研究了GNSS和5G定位在可实现的位置和速度误差范围方面的混合。我们专注于卫星可见性受环境几何约束的场景，以及GNSS和5G定位系统无法单独执行或提供过大误差的场景。

英文摘要：

Standalone Global Navigation Satellite Systems (GNSS) are known to provide positioning accuracy of a few meters in open sky conditions. This accuracy can drop significantly when the line-of-sight (LOS) paths to some GNSS satellites are obstructed, e.g., in urban canyons or underground tunnels. To overcome this issue, the general approach is usually to augment GNSS systems with other dedicated subsystems to help cover the gaps arising from obscured LOS. Positioning in 5G has attracted some attention lately, mainly due to the possibility to provide cm-level accuracy using 5G signals and infrastructure, effectively imposing no additional cost. In this paper, we study the hybridization of GNSS and 5G positioning in terms of achievable position and velocity error bounds. We focus on scenarios where satellite visibility is constrained by the environment geometry, and where the GNSS and 5G positioning systems fail to perform individually or provide a prohibitively large error.

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