| Title | Real-time drone detection and recognition by acoustic fingerprint |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Balakin, Maksim, Dvorak, Anton, Kurylev, Daniil |
| Conference Name | 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA) |
| Keywords | Acoustic Fingerprints, acoustic signature, Acoustics, Aerodynamics, complex networks, composability, Correlation, drone, Fingerprint recognition, Heuristic algorithms, Human Behavior, pubcrawl, Real-time Systems, Resiliency, UAV, Vehicle dynamics |
| Abstract | In recent years, one of the important and interesting tasks has become the protection of civilian and military objects from unmanned aerial vehicles (UAVs) carrying a potential threat. To solve this problem, it is required to detect UAVs and activate protective systems. UAVs can be represented as aerodynamic objects of the monoplane or multicopter type with acoustic fingerprints. In this paper we consider algorithm for UAV acoustic detection and recognition system. Preliminary results of analysis of experimental data show effectiveness of proposed approach. |
| DOI | 10.1109/DCNA53427.2021.9587322 |
| Citation Key | balakin_real-time_2021 |
Real-time drone detection and recognition by acoustic fingerprint