Calculating the precise geolocation of commercial unmanned aerial vehicles

无人机将通过优化流程并将物流和监控等成本降低到接近零的水平来改变所有类型的行业。然而，在商业无人机在我们的城镇和城市周围安全地获得主流和立法认可之前，需要开发能够跟踪和提高无人机可见性的方法。无人机防御旨在证明重新设计我们现有RF传感器网络的硬件/软件的可行性。这项创新将使我们的网络传感器能够充当差分GPS参考天线;无人机定位精度可以达到<50厘米。对于亚马逊、UPS和DHL等公司来说，了解无人机的精确地理位置至关重要，以确保：（1）更多的无人机可以飞得更近;（2）精确的包裹投递，例如在一张A4纸上，而不是在某人的花园里;（3）精确的包裹投递。（3）避开关键基础设施，例如建筑物和人;以及（4）采取最短路线到达每个预先规划的点坐标，节省电池寿命、时间和金钱。最后，由于知道他们的作战空域将受到保护，而不会受到不必要的威胁，我们提出的能力将使上述愿景成为商业现实，并允许创建“空中通道”，用于法律的无人机的自由移动，以进行后勤作业。如果没有我们的解决方案，例如民航局（CAA）可能会限制无人机的使用，这可能会破坏这个新兴行业。我们提出了一个可行的替代方案，以支持该行业并抑制限制性措施。我们的方法将使用最新的遥测方法，并在不久的将来增加人工智能和机器学习能力;我们的技术将为终端用户，如主要城市、机场、监狱和基础设施部门提供地理围栏“保护”其领空，从而对商用无人机构成的日益增长的网络威胁保持高度警惕。

Drones are set to transform industries of all types by optimising processes and reducing the cost of e.g. logistics and surveillance to near £zero. However, methods capable of tracking and increasing drone visibility need to be developed before commercial drones gain mainstream and legislative acceptance safely around our towns and cities.Drone Defence herein aim to prove the feasibility of re-engineering the hardware/software of our existing RF sensor network. This innovation will allow our network sensors to act as differential GPS reference antennas; drone positioning accuracies down <50cm could be attainable.For companies like e.g. Amazon, UPS and DHL knowing a drone's precise geolocation is critical to ensure: (1) more drones can fly closer together; (2) pin-point parcel drop-offs e.g. on a sheet of A4 paper rather than in someone's garden; (3) avoid critical infrastructure e.g. buildings and people; and (4) take the shortest route to each preplanned point coordinate, saving battery life, time and money. Finally, with the benefit of knowing their operational airspace is going to be protected and not at risk from unwanted threats.Our proposed capability will allow the above vision to become a commercial reality and allow the creation of "sky ways", for the free movement of legal drones for logistical operations. Without our solution the e.g. Civil Aviation Authority (CAA) could restrict drone usage, possibly damaging if nor destroying this fledgling industry. We propose a viable alternative to support the industry and inhibit restrictive measures.Our approach will use the latest telemetry methodology and in the near future will be augment with artificial intelligence and machine-learning capabilities; enabling autonomous drone tracking.Our technology will offer end-users e.g. major cities, airports, prisons and the infrastructure sector to geofence "guard" their airspace, allowing robust vigilance to the growing network threat posed by commercial drones.