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A comparison of iterative sparse equivalent source methods for near-field acoustical holography
1Brüel and Kjær Sound and Vibration Measurement A/S, Skodsborgvej 307, DK-2850 Nærum, Denmark.
The Journal of the Acoustical Society of America
|July 2, 2018
Summary
This study compares iterative algorithms for compressive sensing in near-field acoustic holography, finding faster methods suitable for industrial use. The research evaluates algorithm performance for extending microphone array frequency ranges.
Area of Science:
- Acoustics
- Signal Processing
- Computational Physics
Background:
- Compressive sensing principles have been used to extend frequency ranges for microphone arrays in near-field acoustic holography.
- Previous studies often employed slow, stable interior-point algorithms with equivalent source methods.
Purpose of the Study:
- To describe and compare five iterative algorithms for near-field acoustic holography.
- To evaluate the performance of these algorithms against traditional methods using simulated data.
- To assess the suitability of these algorithms for industrial applications.
Main Methods:
- Implementation of five iterative algorithms for solving the inverse problem in acoustic holography.
- Comparison of iterative algorithms with a standard interior-point optimization algorithm.
- Performance evaluation using simulated acoustic measurements.
Main Results:
- Iterative algorithms offer a faster alternative to the interior-point method for near-field acoustic holography.
- Performance variations were observed among the tested iterative algorithms.
- The study provides insights into the practical applicability of different computational approaches.
Conclusions:
- Faster iterative algorithms show promise for extending the frequency range in acoustic holography.
- Algorithm selection should consider a balance between speed and accuracy for industrial applications.
- Further investigation is needed to determine the optimal methodology for specific industrial scenarios.
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