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Theoretical error formation and evaluation of acoustic source localization for cluster-based techniques.

Shenxin Yin1, Huapan Xiao2, Caibin Xu1

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Summary

This study investigates acoustic source localization (ASL) errors using different sensor arrangements. Optimal sensor spacing and cluster spacing minimize ASL errors, with a modified square-shaped arrangement showing the best performance.

Keywords:
Acoustic source localization (ASL)Cluster-based techniqueError evaluationPlacement parameterResponse surface model

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Area of Science:

  • Acoustics
  • Signal Processing
  • Sensor Networks

Background:

  • Acoustic source localization (ASL) is crucial in various applications.
  • Understanding and minimizing ASL errors is essential for accurate source identification.
  • Traditional sensor cluster arrangements (L-shaped, cross-shaped, square-shaped) have limitations in error performance.

Purpose of the Study:

  • To theoretically investigate the formation of acoustic source localization (ASL) error.
  • To analyze the impact of sensor placement parameters on ASL error for different cluster shapes.
  • To identify optimal sensor arrangements for minimizing root mean squared relative error (RMSRE).

Main Methods:

  • Development of a response surface model based on optimal Latin hypercube design.
  • Theoretical analysis of ASL error for L-shaped, cross-shaped, square-shaped, and modified square-shaped sensor clusters.
  • Experimental verification of theoretical findings on sensor placement effects.

Main Results:

  • Theoretical ASL error is directly related to sensor arrangement and wave propagation direction prediction.
  • Sensor spacing and cluster spacing are the most influential parameters affecting ASL error.
  • Increased sensor spacing and decreased cluster spacing lead to higher RMSRE; sensor spacing has a stronger effect.
  • The modified square-shaped sensor cluster arrangement demonstrated the lowest RMSRE among the tested configurations.

Conclusions:

  • Sensor arrangement significantly impacts ASL error, with specific spacing parameters being critical.
  • The modified square-shaped sensor cluster offers superior performance in reducing ASL errors.
  • This research provides valuable guidance for designing optimal sensor arrangements in cluster-based ASL techniques.