Source localization with acoustic intensity flux matched-field processing

Abstract

Matched field processing (MFP) is generalized beamforming method which utilizes the physics of wave propagation in the ocean waveguide to estimate the range, depth and azimuth of the sources or inversion the waveguide. Traditional MFP only uses the pressure information of the sound field. The vector sensor measures the pressure and three orthogonal components of the particle velocity simultaneously. A novel MFP method based on vertical vector-sensor array for location is proposed. Three Bartlett processors are put forward based on matching acoustic intensity flux. The performance of this algorithm is examined in simulation example. They can suppress side-lobes effectively with high resolution. And the fusion algorithm for the newly Bartlett processors is introduced in to take full advantage of the vector field. Furthermore, the combine processors have a more promising performance. Hence, the method base on matching acoustic intensity flux brings a new way for MFP.