Bio-Inspired Echolocation Using Characteristics of Propeller System Acoustic Signature

Abstract

Many species of bats are well-known for their abilities to perceive and navigate environments using sound. While these organisms emit sounds through voice calls and tongue clicks, and traditional engineered systems have looked at dedicated hardware for producing similar signals, the research outlined here seeks to leverage the acoustics inherent in small unmanned aircraft system (UAS) propulsion and control systems hardware to enable localization and navigation tasks. This approach to echolocation reduces size, weight and power requirements, leading to more efficient UAS platforms, among other advantages. Conducting experiments with propellers from hover-capable air vehicles, we have identified the potential utility of using the motor update rate on each of the propeller motors as controllable acoustic signaling devices, demonstrating high signal-to-noise intensity at various specified update frequencies. Further, we have analyzed broadband acoustic data under various propeller operating conditions in the presence of multiple wall configurations. Overall, identification of localization performance limits will help determine the utility of using propeller system embedded acoustics as a navigation tool for small UASs.

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Document Details

Document Type
Technical Report
Publication Date
May 26, 2020
Accession Number
AD1100425

Entities

People

  • Daniel M. Lofaro
  • Donald Sofge
  • Jason Geder
  • Joseph F. Lingevitch
  • Loy McGuire
  • Matthew M. Kelly
  • William L. Calkins

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Absorption
  • Acoustic Measurement
  • Acoustics
  • Air Force
  • Aircrafts
  • Anechoic Chambers
  • Artificial Intelligence
  • Control Systems
  • Dc Motors
  • Frequency Bands
  • Micro Air Vehicles
  • Military Research
  • Propulsion Systems
  • Repetition Rate
  • Signal Processing
  • Transducers
  • Unmanned Aerial Systems

Readers

  • Aerodynamics.
  • Marine Mammal Biology
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy