Funding entity TRC Informática, S.L
The project Hardware Optimization for a Drone Detection System Based on FPGA aims to develop an advanced system for receiving, processing, and analyzing radio signals emitted by drones. It focuses on optimizing the hardware architecture of a previously developed detection system to improve efficiency and reduce costs. The work combines spectral analysis and real-time detection algorithms within embedded platforms to enhance performance and reliability. Conducted by the Instituto de Investigación Tecnológica (IIT) at Universidad Pontificia Comillas in collaboration with Grupo TRC, the project contributes to advancing technologies for security and monitoring of the radio spectrum.
Layman's summary: Project focused on developing an efficient system to detect drones from their radio signals, optimizing hardware and applying advanced spectral analysis and real-time detection techniques.
Techniques employed: Digital signal processing, fast Fourier transforms (FFT), spectral estimation, automatic pulse detection, embedded hardware optimization, and real-time analysis for identifying radiofrequency signatures.
DRONEID_HW_OPT