Alarm

Arrays and acoustic language for malware recognition

Aerial drones as a threat to civil or military security have been in the news since 2014. Their detection, identification and neutralization are a priority, giving rise to numerous research projects, new structures and industrial products. Aerial drones and high-speed craft are 2 major components of a single asymmetrical threat that can be addressed by the usual techniques: radar, radio frequency and optoelectronic systems.

However, small craft, with a low temperature gradient and agile movement in complex environments, require multiple means to limit the number of false alarms or non-detections. Although the use of airborne acoustic signatures has often been cited, it only rarely integrated into land-based systems, due to the lack of mature technology and the fact that it has not yet been tested on ships.

• Detect a threat despite the presence of disruptive sources and a noisy environment
• Classify identified devices (drones, jet-skis, etc.) according to their acoustic signature by means of learning
• Provide near-real-time information for reaction

Work on data from measurements at sea using drones, jet-skis and zodiacs has validated a sufficient range in a very noisy environments to be of interest as a complement to other sensors.