Innovative Regression Model for Frequency-Dependent Acoustic Source Strength in the Aquatic Environment: Bridging...

Area of Science:

• Underwater Acoustics
• Signal Processing
• Environmental Science

Background:

• Accurate acoustic source strength prediction is crucial for underwater applications.
• Frequency-dependent signal attenuation in freshwater complicates source strength determination.
• Existing correction tools for this frequency range are limited.

Purpose of the Study:

• To develop a robust non-linear regression model for attenuation correction in freshwater acoustic signals.
• To enable accurate acoustic source strength prediction in the 100-400 kHz range.
• To provide a practical tool for underwater acoustics research and applications.

Main Methods:

• Developed a non-linear regression framework incorporating signal energy, propagation distance, and frequency.
• Utilized an experimental setup with ultrasonic transducers and a signal generator.
• Collected a dataset of 366 samples under controlled conditions.

Main Results:

• The proposed model reliably predicts acoustic source strength by simplifying Thorpe's equation for freshwater.
• Demonstrated the effectiveness of the non-linear regression approach for attenuation correction.
• Achieved accurate source strength estimation in the 100-400 kHz frequency range.

Conclusions:

• The developed model offers a significant advancement in underwater acoustics for freshwater environments.
• Provides a practical and reliable tool for acoustic source strength estimation.
• Potential applications include sonar technology, environmental monitoring, and aquatic research.