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Time and direction of arrival detection and filtering for imaging in strongly scattering random media
Authors:L Borcea  G Papanicolaou
Institution:1. Department of Mathematics, University of Michigan, Ann Arbor, MI, USA.;2. Department of Mathematics, Stanford University, Stanford, CA, USA.
Abstract:We study detection and imaging of small reflectors in heavy clutter, using an array of transducers that emits and receives sound waves. Heavy clutter means that multiple scattering of the waves in the heterogeneous host medium is strong and overwhelms the arrivals from the small reflectors. Building on the adaptive time-frequency filter of Borcea et al, SIIMS 2011;4(3)], we propose a robust method for detecting the direction of arrival of the direct echoes from the small reflectors, and suppressing the unwanted clutter backscatter. This improves the resolution of imaging. We illustrate the performance of the method with realistic numerical simulations in a non-destructive testing setup.
Keywords:Array imaging  random media  time-frequency analysis  direction of arrival  data filtering
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