Predicting hydrophone phase and evaluating its uncertainty using magnitude data and minimum phase approach.

Area of Science:

• Acoustics
• Metrology
• Signal Processing

Background:

• Hydrophones are crucial for measuring ultrasound transducer acoustic output.
• Direct phase response calibration is complex and sensitive to experimental conditions.
• Magnitude response is typically quantified, while phase is often neglected.

Purpose of the Study:

• To establish a procedure for estimating hydrophone phase response.
• To evaluate the uncertainty associated with the predicted phase response.
• To simplify hydrophone calibration by leveraging magnitude data.

Main Methods:

• Utilized the minimum phase approach to calculate phase from a preconditioned magnitude spectrum.
• Applied propagation of uncertainty to determine phase uncertainty from magnitude uncertainty.
• Employed a machine learning model to assess phase uncertainty from band-limited magnitude spectra.

Main Results:

• The developed procedure accurately predicted phase responses and evaluated uncertainties for hydrophone models.
• Results showed good agreement with reference values for tested hydrophones.
• The method demonstrated practical applicability for various hydrophones.

Conclusions:

• The proposed procedure offers a practical solution for predicting hydrophone phase response.
• It provides a reliable method for evaluating phase uncertainty, simplifying calibration.
• This technique enhances the characterization of hydrophones in acoustic measurements.