论文标题
通过5G和MMWave雷达改善感应和定位，以进行机场监视
Improved Sensing and Positioning via 5G and mmWave radar for Airport Surveillance
论文作者
论文摘要
本文探讨了一种通过空中交通管理（ATM）以及高级表面运动指导和控制系统（A-SMGC）中的应用程序（ATM）应用的综合方法。集成方法包括具有新颖的到达时间和到达角度估计方法的3D矢量天线的协同作用，以进行准确的定位，并结合了Sub-6GHz和MMWave频谱上的感应，以增强非合件监测。对于定位范围，研究了上行链路和下行链路5G参考信号，并评估其性能。对于非合件感应范围，提出了一种新型的基于5G信号的成像功能，并通过实际的机场无线电传播建模进行了验证，并研究了基于AI的目标跟踪和运动识别。基于5G的成像和基于MMWave的雷达检测可能会融合以增强机场的监视。这项工作是在欧洲资助的Project Newsense中完成的，并钻进了未来ATM解决方案的5G，向量天线和MMWave功能。
This paper explores an integrated approach for improved sensing and positioning with applications in air traffic management (ATM) and in the Advanced Surface Movement Guidance and Control System (A-SMGCS). The integrated approach includes the synergy of 3D Vector Antenna with the novel time-of-arrival and angle-of-arrival estimate methods for accurate positioning, combining the sensing on the sub-6GHz and mmWave spectrum for the enhanced non-cooperative surveillance. For the positioning scope, both uplink and downlink 5G reference signals are investigated and their performance is evaluated. For the non-cooperative sensing scope, a novel 5G-signal-based imaging function is proposed and verified with realistic airport radio-propagation modelling and the AI-based targets tracking-and-motion recognition are investigated. The 5G-based imaging and mmWave radar based detection can be potentially fused to enhance surveillance in the airport. The work is being done within the European-funded project NewSense and it delves into the 5G, Vector Antennas, and mmWave capabilities for future ATM solutions.
