A Cooperative Time-Frequency Approach to Detect, Recognize and Track Drones with Audio Sensor Networks (Paper with Briefing Charts)
Abstract
This work aims at proposing a detection, recognition and tracking solution for Unmanned Aircraft Systems (UAS) with a wireless audio sensor network. According to technology trends applicable to UAS (smaller, cheaper and cooperative), we propose a distributed surveillance solution with the same technology approach of the attacker one. In particular, since the drone causes a variation of the surrounding acoustic environment, we investigate the use of an audio sensor network. More precisely, a three-phase algorithm is employed to detect the presence of audio energy in the monitored environment, recognize a particular audio signature and then cooperate with a multiple node approach to track the drone. We show preliminary performance of the proposed approach by relying on experimentally acquired audio signals. We also discuss the future work to improve the actual implementation.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 29, 2021
- Accession Number
- AD1152148
Entities
People
- Carlo Malavenda
- Claudio Santo Malavenda
- Marco Martalo
Organizations
- University of Parma