基于UAV蜂群的IEEE 802.11ad辅助5维感知
IEEE 802.11ad-Aided 5-D Sensing with a UAV Swarm in Urban Environment
AI总结：
本文提出基于IEEE 802.11ad协议的UAV蜂群系统，实现城市环境中5维地面目标感知。
摘要：
搭载在无人机（UAV）上的空中基站支持在挑战性环境中（如城市地区、灾害区和偏远地区）的下一代无线网络。此外，UAV蜂群克服了单个UAV在电池寿命和其他操作限制方面的挑战。然而，在地面跟踪移动用户时，每个UAV的跟踪以及UAV之间的相应同步是一个必须解决的重大问题，否则该框架无法在现实中部署。为了满足这一额外需求，加入额外的感知能力将为每个UAV带来显著的硬件、成本和电力开销。相反，我们提出了一种集成了感知和通信的蜂群UAV系统，基于毫米波IEEE 802.11ad协议。此外，我们证明了所提出的系统能够在城市环境中实现五维（5-D）地面目标感知（距离、多普勒速度、方位、仰角和极化）。使用现实模型的数值实验验证了我们提出的802.11ad辅助UAV系统在5维感知中的性能。
英文摘要：
Aerial base stations mounted on unmanned aerial vehicles (UAVs) support next-generation wireless networks in challenging environments such as urban areas, disaster zones, and remote locations. Further, UAV swarms overcome the challenges of limited battery life and other operational constraints of a single UAV. However, tracking mobile users on the ground by each UAV and the corresponding synchronization between the UAVs is a significant issue that must be addressed before this framework can be deployed in reality. Incorporating additional sensing capabilities to facilitate this additional requirement would introduce significant overhead in terms of hardware, cost, and power to each UAV. Instead, we propose an integrated sensing and communications-enabled swarm UAV system, based on the millimeter-wave IEEE 802.11ad protocol. Further, we show that our proposed system is capable of five-dimensional (5-D) ground target sensing (range, Doppler velocity, azimuth, elevation, and polarization) in an urban environment. Numerical experiments using realistic models demonstrate and validate the performance of 5-D sensing using our proposed 802-11ad-aided UAV system.
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