UAVNeutralizer
UAV detection and neutralization towards infrastructurE pRotection
The scope of the project is to develop and demonstrate an intelligent system that will be able to collect information and detect and localize COTS malicious UAVs and neutralize them with a combination of active electronic measures in order to protect critical infrastructure. The system should be able to detect multiple targets through a combination of distributed sensing mechanisms including radar and electronic transmission signature means (SIGINT). The aim is to implement a centralized detection system that will control a network of sensors and a network of transmitters capable of generating high power Electromagnetic Radiation for the active neutralization of malicious UAVs. The combination of the sensors and EM radiation transmitters will be positioned peripherally around the critical infrastructure and the deployed system will be experimentally validated on the field as TRL-5 technology. In this context, UAVNeutralizer has set the following objectives:
- To develop the required hardware and software towards the implementation of an intelligent protection -against UAVs’ attacks- system that will be capable of detecting and neutralizing malicious UAVs approaching critical infrastructures
- To use distributed RX/TX for detection and neutralisation subsystems
- To use data fusion from heterogeneous sources of information in order to develop an accurate neutralization trigger decision
- To investigate machine learning techniques exploiting the high volume of data, produced from realistic threat scenarios, as simulated in TruNet Wireless. The simulations will consider the actual surrounding environment of the infrastructure that must be protected
- To combine protection methods including a) the study for adding EMP generators at selected spots or the addition of 3D printed composite materials which have blast fire and impact resistant properties
- Funding source: Research Promotion Foundation
- Call: -
- Project number: DUAL USE/0922
- Total funding: €447387,60
- Duration: -