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Acoustic remote sensing for source localization and atmospheric tomography: Applications of the cross-correlation
Max F Denis1, Sandra L Collier1, John M Noble1
1U.S. Army Research Laboratory, 2800 Powder Mill Road, Adelphi, Maryland 20783-1123, USA max.f.denis.ctr@mail.mil, sandra.l.collier4.civ@mail.mil, john.m.noble.civ@mail.mil, william.c.alberts4.civ@mail.mil, david.a.ligon.civ@mail.mil, leng.k.sim.civ@mail.mil, deryck.d.james.civ@mail.mil, christian.g.reiff.civ@mail.mil.
Abstract:
In this work, the application of the cross-correlation Green's function retrieval method for source localization and atmospheric acoustic tomography is presented. Open field experimental measurements of an acoustic source, with an impulsive waveform, are conducted for the evaluation of an array system. Of particular interest are the source localization and sound speed estimation capabilities of the array system. The cross-correlation delay-and-sum beamformer is used to estimate source directivity and sound speed. This beamformer inherently employs the cross-correlation Green's function retrieval method between a pair of receivers. The beamforming results adequately identify the various source directions as well as the scatterers along the propagation path. Reasonable sound speed estimates are obtained at the peak frequency of the retrieved Green's functions. In the case of atmospheric acoustic tomography, the estimated sound speed from the array system can serve as an average background sound speed in a tomographic inversion algorithm. Utilizing a tomographic inversion algorithm with radial basis functions and the estimated sound speed, the reconstruction of temperature and wind velocity profiles are demonstrated.