Real-time Beacon Distance Revision Method in Indoor Environment

The position of the unmanned aerial vehicle (UAV) in indoor environments is commonly calculated using wireless signal based triangulation or fingerprint. However in indoor environments, the calculated distance is inconsistent, and therefore it is difficult to calculate the position of the UAV accurately. In this paper, we propose a real-time method that measures and calibrates the distance between the beacon attached to the UAV and the access point (AP).