Sensor synchronisation for CUAS and UTM applications

负责监管、执法、安全和安保的组织使用专用的无人机系统（cUAS）和无人交通管理（UTM）系统来监控无人机系统（UAS）的存在和活动。为了实现这一目标，需要将多个不同的传感器布置成集群或分布在大面积上，例如机场或区域和国家空中走廊。此外，监控信息可由UAS本身提供，UTM服务提供商将公布批准的飞行活动。本可行性研究将考虑需要cUAS和UTM系统的机场的情况。为了有效地关联多个异构传感器在机场生成的信息，并将检测到或申报的UAS活动与授权的飞行计划和许可进行比较，必须为整个网络中的所有节点提供可靠、稳健和准确的时间分发和同步方法。克兰菲尔德和霍普特罗夫将使用创新的方法，将GNSS衍生信号与IP上的地面PTP相结合，以在传感器节点之间高效、稳健地传输定时信息。

Organisations responsible for regulation, law enforcement, safety and security use dedicated Counter UAS (cUAS) and Unmanned Traffic Management (UTM) systems to monitor for the presence and activity of Unmanned Arial Systems (UAS). To achieve this, multiple and dissimilar sensors need to be arranged either in clusters or distributed over large areas, such as an airport site or regional and national air corridors. Additionally, monitoring information may be provided by the UAS itself, and UTM service providers who will publish approved flight activity.This feasibility study will consider the scenario of an airport which has a need for both cUAS and UTM systems. To effectively correlate the information generated at an airport by multiple heterogeneous sensors, and compare detected or declared UAS activity against the authorised flight plans and permissions, it is essential that a reliable, robust and accurate method of time dissemination and synchronisation is available to all nodes across the entire network.A consortium formed of Operational Solutions, Cranfield and Hoptroff will use innovative methods of combining GNSS derived signals with terrestrial PTP over IP to efficiently and robustly transmit timing information between sensor nodes.