Acoustic localization using Green’s function retrieval methods and range migration processing

Abstract

In this work, Green’s function retrieval and frequency-wavenumber methods are employed to enhance array plane-wave beamforming maps for acoustic source localization and range estimation in an outdoor environment. The crosscorrelation and multidimensional deconvolution Green’s function retrieval methods are used to improve the signal-to-noise ratio of the beamforming maps. The Stolt’s frequency-wavenumber migration method is adapted to the plane-wave beamforming map to find the source positions, applying frequency-wavenumber migration image to the Stolt spatial transformation mapping. Open field microphone array measurements of active and passive sources are investigated. Of particular interests are the accuracy of the estimated source position, the effects of multiple sources, and the image contrast of the beamforming maps.