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

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-base...

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Bibliographic Details
Published inIEEE transactions on vehicular technology Vol. 69; no. 3; pp. 2731 - 2739
Main Authors Shi, Zhiguo, Chang, Xianyu, Yang, Chaoqun, Wu, Zexian, Wu, Junfeng
Format Journal Article
LanguageEnglish
Published New York IEEE 01.03.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Acoustic arrays
Algorithms
detection fusion
drone localization
drone surveillance
Drones
Localization
Miniaturization
Performance enhancement
Surveillance
TDOA estimation
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Summary: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.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2020.2964110