IRLS based inverse methods tailored to volumetric acoustic source mapping

Planar microphone arrays are of common use in acoustic source identification methods, as well the planar calculation grids. Indeed, assumption is that grid contains all sources interest. However, this may not be true several applications and hence return misleading results. One tentative to overcome issue consider three-dimensional surface adhering on target. Unfortunately, also choice enough obtain accurate results challenging like aeroacoustic mapping, since noise necessarily located This paper aims analyze issues benefits arising when turns into a volume. Two inverse methods based Iterative Re-weighted Least Squares (IRLS) Bayesian Regularization (BR) formulated: Equivalent Source Method (ESM-IRLS) Covariance Matrix Fitting (CMF-IRLS). Even though these concepts already known literature, focus theoretical algorithmic aspects make them able produce volumetric maps. The proposed applied both simulated an experimental test case. former reported highlight difference between standard mapping mapping. latter reports application airfoil open jet. A comparison with CLEAN-SC approach cases show performance respect well-known state art algorithm.