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Improving AoA Localization Accuracy in Wireless Acoustic Sensor Networks with Angular Probability Density Functions.

Bart Thoen1, Stijn Wielandt2, Lieven De Strycker3

  • 1KU Leuven, ESAT-DRAMCO, Ghent Technology Campus, 9000 Ghent, Belgium. bart.thoen@kuleuven.be.

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Summary
This summary is machine-generated.

This study introduces a new method for locating sound events using wireless acoustic sensor networks. The novel matching algorithm significantly improves localization accuracy compared to traditional triangulation methods.

Keywords:
MEMS microphonesacoustic localizationangle-of-arrival (AoA)cross correlationlow-power devicesmicrophone arraywireless sensor network

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Area of Science:

  • Electrical Engineering
  • Acoustics
  • Signal Processing

Background:

  • Energy-efficient electronics enable wireless acoustic sensor networks (WASNs).
  • WASNs can detect and locate sound events for surveillance and assisted living.
  • Linear MEMS microphone arrays provide angular information for sound source localization.

Purpose of the Study:

  • To develop and evaluate a novel sound event localization algorithm for WASNs.
  • To compare the accuracy of a new matching algorithm with traditional triangulation methods.
  • To investigate computationally efficient angle-of-arrival (AOA) calculation methods.

Main Methods:

  • Utilized low-power linear MEMS microphone arrays for angular data acquisition.
  • Developed a localization approach using angular probability density functions and a matching algorithm.
  • Investigated two delay-based AOA calculation methods.
  • Experimentally evaluated algorithms in a controlled room environment.

Main Results:

  • The proposed matching algorithm demonstrated superior accuracy over common triangulation.
  • An accuracy improvement of up to 114% was achieved when localizing white noise.
  • Both white noise and vocal sounds were successfully localized.

Conclusions:

  • The novel matching algorithm offers enhanced accuracy for sound event localization in WASNs.
  • This approach provides a more precise alternative to traditional triangulation methods.
  • The findings support the deployment of WASNs for accurate acoustic event detection.