Improving source discrimination performance by using an optimized acoustic array and adaptive high-resolution CLEAN-SC beamforming
S. Luesutthiviboon (TU Delft - Aircraft Noise and Climate Effects)
A. Malgoezar (TU Delft - Aircraft Noise and Climate Effects)
Mirjam Snellen (TU Delft - Aircraft Noise and Climate Effects)
P. Sijtsma (TU Delft - Aircraft Noise and Climate Effects)
D.G. Simons (TU Delft - Aircraft Noise and Climate Effects)
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Abstract
Beamforming performance can be improved in two ways: optimizing the location of microphones on the acoustic array and applying advanced beamforming algorithms. In this study, the effects of the two approaches are studied. An optimization method is developed to optimize the location of microphones for an acoustic array used in an open-jet anechoic wind tunnel. Then the benefits of using the optimized array with the recently-developed advanced beamforming algorithm, the High-Resolution (HR) CLEAN-SC algorithm are investigated. The microphone locations were optimized to obtain both good resolution and low side lobe levels. By using the optimized array and applying the HR CLEAN-SC
algorithm, it was found that two closely-spaced sound sources can be resolved in a broad frequency range below the Rayleigh limit. The findings have also been confirmed through experimental validation.