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Published on: October 5, 2018
Beamforming correction for the singular problem in identifying rotating sources with non-uniform directivity.
Xingjian Pan1, Haijun Wu1, Weikang Jiang1
1State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China.
A new method accurately identifies rotating sound sources by correcting for directivity, improving source mapping in aeroacoustic measurements even with background noise.
Area of Science:
- Acoustics
- Signal Processing
- Aeroacoustics
Background:
- Rotating sources with non-uniform directivity are crucial in aeroacoustic measurements.
- Existing source identification methods can produce singularities due to directivity function zeros.
Purpose of the Study:
- To propose a correction method for aeroacoustic source imaging.
- To address singularities caused by source directivity in rotating sources.
- To improve the accuracy of identifying rotating sound source positions and strengths.
Main Methods:
- De-Dopplerized microphone signals transformed to the frequency domain.
- Deconvolution with transfer functions to compensate for directivity.
- Numerical simulations and experiments with rotating dipole loudspeakers.
Main Results:
- The proposed method effectively removes directivity influence on source imaging.
- Singularities in the source map are successfully restrained.
- Accurate estimation of source positions and strengths achieved.
- Method validated for arbitrary orientations and high background noise.
Conclusions:
- The developed correction method enhances rotating source identification in aeroacoustics.
- It offers improved accuracy over traditional algorithms.
- The technique is robust and applicable in noisy environments.
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