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Updated: Dec 24, 2025

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
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A fusion algorithm of passive sound source localization based on the two-plane four-element cross array.

Hongyan Xing1, Xu Yang1, Xinyuan Ji1

  • 1Collaborative Innovation Center for Meteorological Disaster Prediction and Evaluation, Nanjing University of Information Science and Technology, Nanjing 210044, China.

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Summary
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A novel fusion algorithm enhances passive sound source localization accuracy using a two-plane cross array. This method overcomes position blur, achieving high precision for applications like thunderstorm detection.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Array Signal Processing

Background:

  • Traditional passive sound source localization methods using single-plane arrays suffer from position blur.
  • Improving accuracy and stability in sound source localization is crucial for various applications.

Purpose of the Study:

  • To propose and validate a fusion algorithm for enhanced passive sound source localization.
  • To overcome the limitations of traditional single-plane arrays in accurately determining sound source positions.

Main Methods:

  • Established a two-plane four-element cross array model.
  • Derived sound source position calculation formulas based on array principles.
  • Introduced elevation angle sine value as a weighted coefficient to address indirect measurement errors.
  • Employed a fusion algorithm for sound source localization using the developed array model.

Main Results:

  • Quantified the relationships between time delay estimation error, elevation angle, horizontal angle, and localization performance.
  • Validated the algorithm's accuracy through ranging and direction-finding measurements.
  • Achieved a distance error rate within 2% and an angle error rate within 3%.

Conclusions:

  • The proposed fusion algorithm significantly improves passive sound source localization accuracy and stability.
  • The algorithm demonstrates high precision and quick measurement capabilities.
  • The method holds promise for applications such as thunderstorm cloud detection.