Stevens Drone Detection Acoustic System and Experiments in Acoustics UAV Tracking

A. Sedunov, Darren Haddad, Hady Salloum, Alexander Sutin, Nikolay Sedunov, Alexander Yakubovskiy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

39 Scopus citations

Abstract

Concerns about improper use of Unmanned Aerial Vehicles (UAVs, also unmanned aerial systems or UAS) led to the development of various methods for their detection, tracking, and classification. One of the methods is using acoustics. Advantages of passive acoustics include the low cost of acoustic systems, finding of the Direction of Arrival (DOA) and localization by simple means; and classification of UAV sounds by acoustic signature. Stevens Institute of Technology has developed and built the Drone Acoustic Detection System (DADS) that can detect, track and classify UAVs based on the propeller noise. The system consists of three or more microphone nodes. The microphones in each node are arranged in a tetrahedron with configurable size. The microphone data is transferred over WiFi in real-time to a central computer, where it is processed. The Stevens DADS system was investigated in numerous field tests together with several other directional arrays including a 16-channel two-tier cross array, the OptiNav 40-microphone phased array, and parabolic and shot gun microphones. Multirotor UAVs of different sizes were employed in testing, including DJI models Phantom 4, M600 and S1000. The test results of the different systems were compared.

Original languageEnglish
Title of host publication2019 IEEE International Symposium on Technologies for Homeland Security, HST 2019
ISBN (Electronic)9781728150925
DOIs
StatePublished - Nov 2019
Event2019 IEEE International Symposium on Technologies for Homeland Security, HST 2019 - Woburn, United States
Duration: 5 Nov 20196 Nov 2019

Publication series

Name2019 IEEE International Symposium on Technologies for Homeland Security, HST 2019

Conference

Conference2019 IEEE International Symposium on Technologies for Homeland Security, HST 2019
Country/TerritoryUnited States
CityWoburn
Period5/11/196/11/19

Keywords

  • UAV detection tracking
  • and classification
  • passive acoustics
  • signal processing

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