Sound field separation with cross measurement surfaces

Area of Science:

• Acoustics
• Signal Processing
• Numerical Methods

Background:

• Conventional near-field acoustical holography struggles to isolate sound pressure from coherent sources on the same side of an array.
• Accurate sound source identification is crucial for noise control and acoustic imaging.

Purpose of the Study:

• To develop a method for separating coherent sound sources.
• To improve the identification of sound pressure from individual sources in complex acoustic fields.

Main Methods:

• Utilizes cross measurement surfaces and the equivalent source method.
• Constructs spherical equivalent source surfaces at the center of original sources.
• Employs transfer matrices to determine weighting of equivalent sources.
• Applies Tikhonov regularization and the L-curve method for noise reduction and accuracy enhancement.

Main Results:

• Successfully separates individual sound sources from coherent sources.
• Demonstrates improved calculation accuracy for sound pressure reconstruction, even with experimental noise.
• Validates the method through numerical simulations and experimental studies.

Conclusions:

• The proposed cross measurement technique effectively separates single sound sources from coherent ones.
• This method enhances the capabilities of near-field acoustical holography for complex acoustic source analysis.
• The integration of regularization techniques further improves the reliability of sound pressure measurements.