Direction of Arrival Determination of the Sound Produced by Small Multi-Rotor UAVS Using Bio-Inspired Mems Sensors

Abstract

In this study, the detection of the sound produced by multi-rotor small UAVs utilizing bio-inspired MEMS acoustic sensors is demonstrated. These sensors can be tuned by design to have the main resonance frequency matching the target spectral response. Different from conventional sensors, they are based on the hearing system of the parasitic fly Ormia Ochracea and can be operated at resonance. A multi-rotor small UAV acoustic signature is studied, and sensors designed specifically to detect a strong harmonic of the blade passing frequency are utilized to obtain the acoustic bearing. The MEMS sensors are arranged in canted angle configuration and the difference over the sum of their output voltages was found to be dependent on the angle of incidence. A simple algorithm with different integration times is applied and an unambiguous direction of arrival of the UAV sound is determined. All experiments were performed in anechoic chamber and the utilization of this method in open field is to be performed in future work. Results obtained without any calibration of signal processing show an average error and DOA determination about 11 degrees, which is better than what was obtained by complex microphone arrays, reported in the literature. These results indicate a great potential to use Ormia-based sensors for small UAV detection and localization.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2020
Accession Number
AD1214327

Entities

People

  • Jaemin Yang

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Absorption
  • Acoustic Detection
  • Acoustic Detectors
  • Acoustic Properties
  • Acoustic Waves
  • Acoustics
  • Aircrafts
  • Angle Of Arrival
  • Angle Of Incidence
  • Circuit Boards
  • Detection
  • Detectors
  • Helicopters
  • Microelectromechanical Systems
  • Printed Circuits
  • Signal Processing
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles

Fields of Study

  • Engineering

Readers

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  • Sensor Fusion and Tracking Systems.