Quantitative Analysis Method and Correction Algorithm Based on Directivity Beam Pattern for Mismatches between...

Area of Science:

• Acoustics
• Sensor Technology
• Signal Processing

Background:

• Acoustic dyadic sensors (ADSs) exhibit high directivity, valuable for sound source localization and noise cancellation.
• Performance of ADSs is significantly degraded by mismatches among their sensitive units.
• Existing methods for characterizing and correcting these mismatches are limited.

Purpose of the Study:

• To develop a theoretical model for mixed mismatches in ADSs.
• To propose a quantitative analysis method for estimating mismatch magnitudes.
• To demonstrate a correction algorithm for improving ADS directivity patterns.

Main Methods:

• Established a theoretical model for mixed mismatches using a finite-difference approximation of uniaxial acoustic particle velocity gradient.
• Validated the model by comparing theoretical and experimental directivity patterns of a MEMS-based ADS.
• Developed and applied a directivity beam pattern analysis for mismatch quantification.
• Implemented and tested a correction algorithm using simulated and measured data.

Main Results:

• The theoretical model accurately reflects actual mismatches in ADSs.
• The quantitative analysis method effectively estimates mismatch magnitudes.
• The correction algorithm successfully improved simulated and measured directivity beam patterns.

Conclusions:

• The developed theoretical model and quantitative analysis provide a robust framework for understanding and mitigating mismatches in ADSs.
• The demonstrated correction algorithm enhances the practical application of ADSs in demanding acoustic environments.
• This work facilitates the design and optimization of high-performance ADSs for various acoustic applications.