Passive radars, an emerging green technology for traffic (aerial, ground and maritime) monitoring and critical infrastructure protection
Mentor: Maria-Pilar Jarabo-Amores
Phone: (+34) 918856743
University: Universidad de Alcalá
Partner Host Institution:
Keywords: passive radar, Neyman-Pearson detector, bistatic clutter, artficial intelligence, array signal procesing, antenna optimization

Passive radars, an emerging green technology for traffic (aerial, ground and maritime) monitoring and critical infrastructure protection

Passive Radars (PRs) are defined as a set of techniques whose main objective is to detect targets and to estimate parameters using non-cooperative signals (such as broadcast, communications, radar, or radio-navigation signals) as Illuminators of Opportunity (IoO), rather than using a dedicated radar transmitter. As a result, they overcome all active radar drawbacks associated to the use of a dedicated transmitter. On the other hand, commercial off-the-shelf (COTS) devices can be used for signal reception (antenna, RF front-end and acquisition systems). But, the use of non-controlled transmitters that have not been designed for radar purposes makes detection and tracking really complex. System design and performance are strongly determined by the IoO and the geometry of the radar scenario. Research areas:
– Improved digital array signal processing techniques for 3D-detection and tracking of targets in PRs with moving IoOs (on satellites), moving PR receivers (on aircrafts).
– Data fusion in multistatic configurations: several IoOs, several PR receivers or both.
– Design of new antenna solutions for generating multiple narrow beams capable of fulfilling design requirements imposed by PRs exploiting GPS and Digital Video Broadcasting- Satellite (DVB-S) illuminators.

Departament: Signal Theory and Communications
Research Group: High Frequencies Technlologies
More Information:
Relevants projects on the area: MultichAnnel paSsive radar receiver exploiting TERrestrial and SATellite Illuminators (MASTERSAT). Project funded by the Spanish Ministry of Economy and Competitiveness with reference TEC2015-71148-R
Relevants publications on the area: 1.- N. del-Rey-Maestre, M. P. Jarabo-Amores, D. Mata-Moya, J. L. Bárcena-Humanes and P. J. Gomez-del-Hoyo, "Machine learning techniques for coherent CFAR detection based on statistical modeling of UHF passive ground clutter," in IEEE Journal of Selected Topics in Signal Processing, no. 99, pp. 1-1.
2.- Nerea del-Rey-Maestre, David Mata-Moya, Maria-Pilar Jarabo-Amores, Pedro-Jose Gómez-del-Hoyo, Jose-Luis Bárcena-Humanes and Javier Rosado-Sanz, Passive Radar Array Processing with Non-Uniform Linear Arrays for Ground Target’s Detection and Localization, Remote Sens. 2017, 9(7), 756.