Adaptive beamforming for array signal processing in aeroacoustic measurements.

Area of Science:

• Aeroacoustics
• Signal Processing

Background:

• Phased microphone arrays are crucial for aeroacoustic noise source localization.
• Conventional beamforming (delay-and-sum) has limitations in noisy environments, offering poorer resolution.
• Adaptive beamforming, successful in communication and sonar, offers potential for aeroacoustics.

Purpose of the Study:

• To discuss and apply an adaptive beamforming algorithm specifically designed for aeroacoustic applications.
• To evaluate the efficiency of adaptive beamforming in reducing post-processing time for deconvolution methods.

Main Methods:

• Application of a novel adaptive beamforming algorithm to practical experimental aeroacoustic data.
• Comparison of processing time with conventional beamforming and deconvolution techniques.

Main Results:

• The adaptive beamforming method significantly reduces post-processing time for deconvolution.
• Demonstrated a reduction in DAMAS (Deconvolution Approach for the Mapping of Acoustic Sources) computation time by at least 60% in a practical case.
• Adaptive beamforming enhances resolution and efficiency in noisy aeroacoustic environments.

Conclusions:

• Adaptive beamforming is a promising signal processing method for aeroacoustic measurements.
• It offers significant advantages in terms of post-processing time and potentially resolution compared to conventional methods.
• The method shows practical applicability and efficiency for aerospace noise source localization.