A Surveillance System for Drone Localization and Tracking Using Acoustic Arrays

The wide proliferation of drones has posed great threats to personal privacy and public security, which makes it urgent to monitor the drones in the sensitive areas. Drone surveillance using acoustic arrays, as a promising method, could localize and track the drones effectively. In this paper, we de...

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Bibliographic Details
Published inProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop pp. 573 - 577
Main Authors Chang, Xianyu, Yang, Chaoqun, Wu, Junfeng, Shi, Xiufang, Shi, Zhiguo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2018
Subjects
Acoustic arrays
Acoustics
drone surveillance
Drones
Estimation
localization
Manganese
Sensor arrays
Surveillance
tracking
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Summary:The wide proliferation of drones has posed great threats to personal privacy and public security, which makes it urgent to monitor the drones in the sensitive areas. Drone surveillance using acoustic arrays, as a promising method, could localize and track the drones effectively. In this paper, we develop a systematic method for drone localization and tracking by using acoustic arrays. Specifically, we develop a time difference of arrival (TDOA) estimation algorithm based on Gauss priori probability density function to overcome the multipath effect and the low signal-to-noise ratio (SNR), and design a localization method by making full use of the TDOA estimation results, followed by tracking the drone by Kalman filter. Finally, field experiments are carried out to verify the effectiveness and performance of the proposed methods. The results show that they can achieve good performance in drone localization and tracking.
ISSN:2151-870X
DOI:10.1109/SAM.2018.8448409