Beamforming and range-migration localization algorithms using the retrieved Green's function

In this work, the localization of acoustic noise sources and scatterers in an outdoor environment using Green's function retrieval methods is presented. Of particular interest is the implementation of cross-correlation and multidimensional deconvolution into localization algorithms. Conventional beamforming and range-migration algorithms, implemented with Green's function retrieval methods, are compared as localization techniques for an array system. The accuracy of both algorithms to reconstruct the position of targets (noise sources and scatterers) is investigated. Additionally, the added localization enhancements using the retrieved Green's functions are discussed.In this work, the localization of acoustic noise sources and scatterers in an outdoor environment using Green's function retrieval methods is presented. Of particular interest is the implementation of cross-correlation and multidimensional deconvolution into localization algorithms. Conventional beamforming and range-migration algorithms, implemented with Green's function retrieval methods, are compared as localization techniques for an array system. The accuracy of both algorithms to reconstruct the position of targets (noise sources and scatterers) is investigated. Additionally, the added localization enhancements using the retrieved Green's functions are discussed.