A hybrid deconvolution approach to separate acoustic sources in multiple motion modes

Area of Science:

• Acoustics
• Signal Processing
• Array Signal Processing

Background:

• Multiple acoustic sources can exhibit distinct motion modes, leading to complex acoustic maps.
• Traditional beamforming and deconvolution methods struggle with source separation due to inter-modal leakages, potentially misidentifying artifacts as sources.

Purpose of the Study:

• To develop a novel hybrid deconvolution approach for effective separation of acoustic sources operating in multiple motion modes.
• To address the challenge of source leakage contamination in acoustic mapping.

Main Methods:

• A hybrid deconvolution technique is proposed, considering all potential motion modes simultaneously.
• Equivalent sources representing actual sources in each motion mode are introduced.
• An expanded linear matrix equation is formulated based on the equivalence between actual and equivalent sources.

Main Results:

• The proposed method successfully restrains source leakages, enabling accurate acoustic source separation.
• Simulations and a practical experiment involving counter-rotating and static sources validated the approach's effectiveness.

Conclusions:

• The hybrid deconvolution approach provides a robust solution for separating acoustic sources in multiple motion modes.
• This method enhances the interpretability of acoustic maps by mitigating source leakage artifacts.