Performance analysis of microphone array methods

Functional Beamforming Applied to Imaging of Flyover Noise on Landing Aircraft

“…Beamforming techniques are increasingly being used in the aerospace industry in order to support the development of noise reduction techniques [4][5][6][7][8][9][10][11][12]. In the case of fly-over measurements, the data generally have to be pre-processed to take into account the background noise, the propagation effects (geometrical spreading and atmospheric attenuation), ground reflection, the movement of the source and the Doppler effect [13,14].…”

Numerical investigation of noise generation by rod-airfoil configuration using DES (SU2) and the FW-H analogy

“…The resulting spectra were then averaged to yield the cross-spectral matrix and further processed using the DAMAS beamforming algorithm [25]. This algorithm, although computationally expensive, is known for its good performance especially at low frequencies [26] and is often used in aeroacoustic studies [27]. In the present case, DAMAS was applied to a two-dimensional focus plane parallel to the array.…”

Comparison of the Rotating Source Identifier and the Virtual Rotating Array Method

“…The selected methods were compared using synthetic sources. This is common practice when beamforming array methods are analysed [13,14,18]. An in-house algorithm was used to generate the required sound signals, first creating the emitted noise vector, being significantly oversampled compared to the sampling frequency of the final signal.…”