Outdoor acoustic tomography using retrieved Green’s function from controlled-sources: An Experimental Feasibility Study

Abstract

In this work, outdoor acoustic tomography is investigated using the retrieve Green's function originating from a virtual source located inside a region of interest (ROI). Of particular interest are the location and amplitude of reflectors, as well as the extraction of atmospheric conditions. Existing methods utilize Green’s function retrieval approaches, such as cross-correlation (CC) and multidimensional deconvolution (MDD), of reflection data from inhomogeneities (virtual sources) within the ROI. This allows one to retrieve the Green's function without detailed knowledge of the medium itself. The imaging resolution, artifacts, and close match with the true reflectors are investigated and discussed for both Green’s function retrieval methods.In this work, outdoor acoustic tomography is investigated using the retrieve Green's function originating from a virtual source located inside a region of interest (ROI). Of particular interest are the location and amplitude of reflectors, as well as the extraction of atmospheric conditions. Existing methods utilize Green’s function retrieval approaches, such as cross-correlation (CC) and multidimensional deconvolution (MDD), of reflection data from inhomogeneities (virtual sources) within the ROI. This allows one to retrieve the Green's function without detailed knowledge of the medium itself. The imaging resolution, artifacts, and close match with the true reflectors are investigated and discussed for both Green’s function retrieval methods.