Time-reversal multiple signal classification in case of noise: a phase-coherent approach |
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Authors: | Asgedom Endrias G Gelius Leiv-J Austeng Andreas Holm Sverre Tygel Martin |
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Affiliation: | Centre for Imaging, Department of Informatics, University of Oslo, P.O. Box 1080 Blindern No-0316 Oslo, Norway. endriasa@ifi.uio.no |
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Abstract: | The problem of locating point-like targets beyond the classical resolution limit is revisited. Although time-reversal MUltiple SIgnal Classification (MUSIC) is known for its super-resolution ability in localization of point scatterers, in the presence of noise this super-resolution property will easily break down. In this paper a phase-coherent version of time-reversal MUSIC is proposed, which can overcome this fundamental limit. The algorithm has been tested employing synthetic multiple scattering data based on the Foldy-Lax model, as well as experimental ultrasound data acquired in a water tank. Using a limited frequency band, it was demonstrated that the phase-coherent MUSIC algorithm has the potential of giving significantly better resolved scatterer locations than standard time-reversal MUSIC. |
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