Tailored Green's Function Beamforming in Numerical Data
* Presenting author
In this paper the use of the tailored Green's function as a steering vector for conventional beamforming in numerical data is presented. The beamforming algorithm is described and examples with analytical and numerical data provided by an unsteady computational fluid dynamics (CFD) simulation are compared to traditional beamforming techniques. As a developing field, numerical beamforming is validated through experimental beamforming, though it is however not bound by many of the restrictions that experimental beamforming possesses and this can used to provide more physical beamforming results. Traditionally, a variant of the free field Green's function has been used as a steering vector for experimental beamformers with the assumption that the sources radiate in a free field manner and uniformly in all directions. Even though beamforming with these assumptions has delivered valuable information, these assumptions can lead to large errors when either is not fulfilled. Through the use of the tailored Green's function as a steering vector, calculated numerically with the boundary element method (BEM), physical sources are able to be located as the tailored Green's function provides the physical radiation of the source in the system.