Beamforming for measurements under disturbed propagation conditions using numerically calculated Green's functions

Beamforming methods for sound source localization are usually based on free-field Green's functions to model the sound propagation between source and microphone. This assumption is known to be incorrect for many industrial applications and the beamforming results can suffer from this inconsistency regarding both, accuracy of source power estimation, and accuracy of source localisation. The aim of this paper is to investigate whether the use of numerically calculated Green's functions can improve the results of beamforming measurements. The current test cases of numerical and experimental investigations consists of sources placed in a short rectangular duct. The measurement is performed outside the duct in a semi-anechoic chamber. A typical example for this kind of installation is a fan with a heat exchanger. The Green's functions for this test case are calculated numerically using the boundary element method. These tailored Green's functions are used to calculate the corresponding beamforming steering vectors. The weighting of the Green's functions in the steering vectors has a decisive influence on the beamforming results. A generalization of the common steering vector formulations is given based on two scalars. It is shown that arbitrary differentiable Green's functions can be used to find the correct source position or source power level by using the appropriate steering vector formulations. Beamforming measurements are performed using a loudspeaker as a reference source at different positions in the heat exchanger duct. The measurements are evaluated in the frequency domain and by means of different validation criteria it can be shown that the results with the numerical calculated Green's function are improved compared to free field beamforming especially at low frequencies.

[1]  Pieter Sijtsma,et al.  CORRECTIONS FOR MIRROR SOURCES IN PHASED ARRAY PROCESSING TECHNIQUES , 2003 .

[2]  Manfred Kaltenbacher,et al.  Inverse scheme for acoustic source localization in 3D , 2018 .

[3]  Q. Leclère,et al.  A review of acoustic imaging methods using phased microphone arrays , 2019, CEAS Aeronautical Journal.

[4]  Con J. Doolan,et al.  Beamforming in a reverberant environment using numerical and experimental steering vector formulations , 2017 .

[5]  Sofiane Bousabaa Acoustic Green’s Function Estimation using Numerical Simulations and Application to Extern Aeroacoustic Beamforming , 2018 .

[6]  Con J. Doolan,et al.  Improving acoustic beamforming maps in a reverberant environment by modifying the cross-correlation matrix , 2017 .

[7]  Ennes Sarradj,et al.  Three-Dimensional Acoustic Source Mapping with Different Beamforming Steering Vector Formulations , 2012 .

[8]  Wolfram Pannert,et al.  Imaging of Broadband Noise from Rotating Sources in Uniform Axial Flow , 2017 .

[9]  Barbara Kaltenbacher,et al.  Inverse Scheme for Acoustic Source Localization using Microphone Measurements and Finite Element Simulations , 2018, Acta Acustica united with Acustica.

[10]  Phillip Joseph,et al.  A Focused Beamformer Technique for Separating Rotor and Stator-Based Broadband Sources , 2006 .

[11]  P. Welch The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .

[12]  Barbara Kaltenbacher,et al.  Combined Experimental-Simulation Based Acoustic Source Localization , 2016 .

[13]  W. F. King,et al.  Wheel/rail noise generated by a high-speed train investigated with a line array of microphones , 1987 .

[14]  Pieter Sijtsma,et al.  Location of rotating sources by phased array measurements , 2001 .

[15]  Pieter Sijtsma,et al.  Experimental techniques for identification and characterisation of noise sources , 2004 .

[16]  Ennes Sarradj,et al.  An Extension of the Virtual Rotating Array Method Using Arbitrary Microphone Configurations for the Localization of Rotating Sound Sources , 2020 .

[17]  P. Sijtsma,et al.  Using phased array beamforming to locate broadband noise sources inside a turbofan engine , 2006 .

[18]  Markus Lummer,et al.  Validation of a Model for Open Rotor Noise Predictions and Calculation of Shielding Effects using a Fast BEM , 2013 .

[19]  Gert Herold,et al.  Microphone array method for the characterization of rotating sound sources in axial fans , 2015 .

[20]  Siegfried Wagner,et al.  The Reflection Canceller - Phased Array Measurements in a Reverberating Environment , 2002 .

[21]  Christian Maier,et al.  Rotating beamforming – motion-compensation in the frequency domain and application of high-resolution beamforming algorithms , 2014 .

[22]  Christopher Lowis In-duct measurement techniques for the characterisation of broadband aeroengine noise , 2007 .

[23]  Daniel L. Sutliff,et al.  Locating and Quantifying Broadband Fan Sources Using In-Duct Microphones , 2010 .

[24]  L. Rayleigh,et al.  The theory of sound , 1894 .

[25]  Markus Lummer,et al.  Installation: numerical investigation , 2019, CEAS Aeronautical Journal.