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A recursive approach for aeroacoustic phased array measurements in wind tunnels
Jianchao Ji1, Cong Wang2, Liang Wang1
1School of Aerospace Engineering, Tsinghua University, Haidian District, Beijing, 100084, China.
The Journal of the Acoustical Society of America
|August 3, 2021
Summary
A new multi-window beamforming algorithm enhances aeroacoustic measurements by suppressing noise and accelerating data processing. This recursive Kalman filter-based method improves accuracy and efficiency in wind tunnel testing.
Area of Science:
- Acoustics
- Signal Processing
- Aerodynamics
Background:
- Aeroacoustic measurements in wind tunnels require effective noise suppression and data processing.
- Phased array techniques are vital for localizing sound sources but are sensitive to noise interference.
Purpose of the Study:
- To develop an advanced beamforming algorithm for improved aeroacoustic measurements.
- To enhance noise-interference suppression and data-processing acceleration in wind tunnel applications.
Main Methods:
- Development of a novel "multi-window" beamforming algorithm.
- Recursive data processing based on an array-acquisition model.
- Algorithm derived from Kalman filter theory for spatial filtering.
Main Results:
- Accurate signal estimation achieved with removal of incoherent and coherent background noise.
- Effective suppression of channel noise and phase noise demonstrated.
- Faster convergence rate compared to existing algorithms, saving computational resources.
Conclusions:
- The multi-window beamforming algorithm significantly improves aeroacoustic measurement accuracy and efficiency.
- The algorithm facilitates immediate on-site detection and correction of wind tunnel testing defects.
- Potential for real-time sound source localization in noisy environments is high.
