Observatorio de I+D+i UPM

Descripción
Recently, the increase in the usage of consumer drones due to their low cost and simple use has posed new security threats. For this reason, new surveillance systems should be developed against their malicious or negligent use. With the aim of detecting and classifying these targets, this paper suggests a passive radar sensor network based on the use of the downlink signal of the LTE communication system as the illumination of opportunity. Each sensor node is implemented by using a two-channel software-defined radio to obtain the reference and surveillance signals. The signal processing is based on the range-Doppler cross-correlation between the reconstructed reference signal and the surveillance signal, after a direct-signal interference and multipath cancellation process that removes the echoes due to static clutter. The centralized data processing fuses the detections through a multilateration algorithm and tracks the targets. In this way, this sensor network can be deployed in urban environments to detect and classify drones.
Internacional	No
Nombre congreso	XXXIV Simposium Nacional de la Unión Científica Internacional de Radio (URSI 2019).
Tipo de participación	960
Lugar del congreso	Sevilla, España.
Revisores	Si
ISBN o ISSN	978-84-09-12961-4
DOI
Fecha inicio congreso	04/09/2019
Fecha fin congreso	06/09/2019
Desde la página	1
Hasta la página	4
Título de las actas	Libro de Resúmenes URSI 2019.

Esta actividad pertenece a memorias de investigación

• Autor: Rodrigo Blázquez García (UPM)
• Autor: Lourdes Muñoz Miguel (UPM)
• Autor: Mateo Burgos Garcia (UPM)

• Creador: Grupo de Investigación: Microondas y Radar
• Departamento: Señales, Sistemas y Radiocomunicaciones
• Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones