Sanjoy BASAK

Researcher     Academic details

Research projects


The main objective of the SafeShore project is to cover existing gaps in coastal border surveillance and increase internal security by preventing cross-border crime such trafficking in human beings and the smuggling of drugs. The project will develop an effective system to detect mini-RPAS when they cross the maritime border. To detect targets that are flying in low altitude, SafeShore will develop and deploy 3D LIDAR which will be integrated with passive acoustic sensors, passive radio detection and video analytics. The boats and humans on shore will be detected by a 2D LIDAR integrated with video analytics. Those technologies can be considered as low cost and ‘green’ technologies. One of SafeShore’s specific objectives will be to cover 1500-1800 meter along the coastal border.

The CISS department is responsible for the Radio passive monitoring system for detection and localization of small drones. The first part of this task is to determine the frequency in which the drone and the pilot operates. Once the frequency has been identified, an antenna array will be used to determine the angle of arrival of the transmitted signals.



  1. Sanjoy Basak, Sreeraj Rajendran, Sofie Pollin, and Bart Scheers. Drone classification from RF fingerprints using deep residual nets, 2020.
  2. Paul Stoica, Sanjoy Basak, Cristian Molder, and Bart Scheers. Review of counter-UAV solutions based on the detection of remote control communication. pages 233-238, 06 2020.
  3. S. Basak and B. Scheers. Passive radio system for real-time drone detection and doA estimation. In 2018 International Conference on Military Communications and Information Systems (ICMCIS), pages 1-6, May 2018.