Combining LoRaWAN and a New 3D Motion Model for Remote UAV Tracking

Autor:	Mason, Federico, Chiariotti, Federico, Capuzzo, Martina, Magrin, Davide, Zanella, Andrea, Zorzi, Michele
Rok vydání:	2020
Předmět:	Electrical Engineering and Systems Science - Systems and Control Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	Over the last few years, the many uses of Unmanned Aerial Vehicles (UAVs) have captured the interest of both the scientific and the industrial communities. A typical scenario consists in the use of UAVs for surveillance or target-search missions over a wide geographical area. In this case, it is fundamental for the command center to accurately estimate and track the trajectories of the UAVs by exploiting their periodic state reports. In this work, we design an ad hoc tracking system that exploits the Long Range Wide Area Network (LoRaWAN) standard for communication and an extended version of the Constant Turn Rate and Acceleration (CTRA) motion model to predict drone movements in a 3D environment. Simulation results on a publicly available dataset show that our system can reliably estimate the position and trajectory of a UAV, significantly outperforming baseline tracking approaches. Comment: 6 pages, 6 figures, in review for IEEE WISARN 2020 (INFOCOM WORKSHOP) 2020 : IEEE WiSARN 2020 (INFOCOM WORKSHOP) 2020: 13th International Workshop on Wireless Sensor, Robot and UAV Networks
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2002.04849 Zobrazit plný text záznamu View this record from Arxiv