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A Robust Steered Response Power Localization Method for Wireless Acoustic Sensor Networks in an Outdoor Environment.

Yiwei Huang1,2, Jianfei Tong1, Xiaoqing Hu1

  • 1Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.

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|March 6, 2021
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Summary
This summary is machine-generated.

This study introduces a robust method for locating outdoor sound sources using steered response power (SRP) and generalized cross-correlation (GCC) techniques. The approach enhances accuracy despite uncertain time delays and coarse spatial grids.

Keywords:
generalized cross-correlationsource localizationsteered response powerwireless acoustic sensor networks

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Area of Science:

  • Acoustics
  • Signal Processing
  • Wireless Sensor Networks

Background:

  • Outdoor acoustic source localization is crucial for wireless sensor networks.
  • Existing steered response power (SRP) methods struggle with time delay uncertainty and coarse spatial grids.

Purpose of the Study:

  • To propose a modified SRP-based method for robust outdoor acoustic source localization.
  • To enhance localization accuracy in the presence of steering time delay uncertainty and coarser spatial grids.

Main Methods:

  • Derivation of a sufficient condition for robust on-grid source localization using generalized cross-correlation (GCC) waveform functions.
  • Development of a GCC refinement procedure using complex wavelet functions for band-pass GCCs.
  • Filtering and averaging GCC envelopes to create an equivalent GCC matching the derived sufficient condition.

Main Results:

  • The proposed SRP method effectively suppresses disturbances from grid distance and uncertain steering time delays.
  • Simulation results and field experiments validate the enhanced localization robustness.
  • The method demonstrates superior performance compared to existing SRP-based techniques.

Conclusions:

  • The modified SRP-based method significantly improves the robustness of outdoor acoustic source localization.
  • The GCC refinement procedure is key to achieving accurate localization under challenging conditions.
  • This work offers a valuable advancement for acoustic sensing in wireless sensor networks.