Numerical and Experimental Study of Various Interior Source Identification Methods With Circular Microphone Array
Keywords:noise identification methods, circular microphone array, beamforming, inverse method, deconvolution
This study addresses an assessment of some sound identification methods using circular microphone arrays for sources interior to the array circle. Various techniques are compared, including classical beamforming (CB), regularized inverse methods (Tikhonov regularization), L1- generalized inverse beamforming (L1-GIB), deconvolution methods CLEAN-PSF, CLEAN-SC, as well as more recent inverse methods using beamforming regularization (BFR). To highlight the advantages and disadvantages of these methods, several numerical and experimental application examples are discussed. When multiple sources are searched, the results show that the method of choice depends on the correlation, directivity and relative level of the sources.
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