Abstract
A technique for accurate estimation of the positions of objects separated by less than the classical resolution distance is described, where the main emphasis is on rapid processing and noisetolerance, The technique consists of three steps: signal pre-cleaning (or filtering), deconvolution, and the use of spatial null processing. A computer simulation test showed that this method could determine the location of each of three objects within the resolution limit when a 41-element array was used and the original S/N amplitude ratio at each array receiver was greater than 20 dB. Detailed results of the simulation are discussed.
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© 1980 Plenum Press, New York
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Sawatari, T., Keating, P.N. (1980). Super-Resolution for Separating Clustered Images. In: Metherell, A.F. (eds) Acoustical Imaging. Acoustical Imaging, vol 8. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2943-5_29
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DOI: https://doi.org/10.1007/978-1-4613-2943-5_29
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-2945-9
Online ISBN: 978-1-4613-2943-5
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