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Updated: May 10, 2026

An Automated System for Sound Localization Testing in Hearing-Impaired Listeners
Published on: March 13, 2026
An investigation of acoustic beam patterns for the sonar localization problem using a beam based method
Francesco Guarato1, James Windmill, Anthony Gachagan
1Centre for Ultrasonic Engineering, Department of Electronic and Electrical Engineering, University of Strathclyde, 204 George Street, Glasgow G1 1XW, United Kingdom. francesco.guarato@strath.ac.uk
This study presents an ultrasonic sonar system for precise target localization. Bat-inspired receiver designs enhance orientation accuracy, achieving a worst-case error of 2°.
Area of Science:
- Robotics and Automation
- Acoustic Sensing
- Bio-inspired Engineering
Background:
- Accurate target localization is crucial for autonomous systems.
- Traditional sonar systems face challenges in precise orientation estimation.
- Bio-inspired designs offer novel solutions for sensor optimization.
Purpose of the Study:
- To develop an ultrasonic sonar system for accurate target localization.
- To investigate bio-inspired sonar receiver designs for improved orientation accuracy.
- To identify optimal receiver parameters for real-world sonar implementation.
Main Methods:
- Utilizing time of flight for distance calculation.
- Estimating orientation via frequency domain analysis of emitted and received signals.
- Designing and simulating sonar receivers inspired by bat ear morphology (flare rate, truncation angle, tragus).
Main Results:
- The performance of target localization is highly dependent on the sonar receiver's beam pattern.
- Simulations identified optimal receiver structure parameters for enhanced accuracy.
- The chosen receiver design achieved a worst-case orientation estimation error of 2° at 50 dB SNR.
Conclusions:
- Bio-inspired sonar receiver designs significantly improve target orientation accuracy.
- The developed ultrasonic sonar system offers a practical solution for precise localization.
- Further research can explore advanced bio-mimicry for enhanced sonar performance.
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