Multilateration

Engineering

Embedded system

Wearable computer

Artificial intelligence

Archaeology

Geography

Amateur

Computer security

Computer science

Genetics

Drone

Node (physics)

Structural engineering

Real-time computing

Biology

IEEE Transactions on Vehicular Technology

Due to cost reduction and device miniaturization, amateur drones are now widely used in numerous civilian and commercial applications. However, the abuse of amateur drones has resulted in emerging threats to personal privacy and public security. To alleviate these threats, we design an acoustic-based surveillance system, which can achieve the capacity of amateur drones detection and localization with 24/7 (24 hours per day and 7 days per week under normal circumstances) availability. In the designed system, a detection fusion algorithm and a TDOA estimation algorithm based on the Bayesian filter are applied to improve the performance of drone detection and localization. Field experiments are carried out, and the results demonstrate that the designed system can detect and locate an amateur drone in real time with high accuracy and 24/7 availability.

An Acoustic-Based Surveillance System for Amateur Drones Detection and Localization