Autofocusing of through-the-wall radar imagery under unknown wall characteristics.

The quality and reliability of through-the-wall radar imagery is governed, among other things, by the knowledge of the wall characteristics. Ambiguities in wall characteristics smear and blur the image, and also shift the imaged target positions. An autofocusing technique, based on higher order statistics, is presented which corrects for errors under unknown walls. Simulation results show that the proposed technique provides high-quality focused images with target locations in close proximity to true target positions.

Main Author: Ahmad, Fauzia.
Other Authors: Amin, Moeness G., Mandapati, Govindaraju.
Language: English
Published: 2007
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173162
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dc_source_str_mv IEEE Transactions on Image Processing, July 2007.
author Ahmad, Fauzia.
author_s Ahmad, Fauzia.
spellingShingle Ahmad, Fauzia.
Autofocusing of through-the-wall radar imagery under unknown wall characteristics.
author-letter Ahmad, Fauzia.
author_sort_str Ahmad, Fauzia.
author2 Amin, Moeness G.
Mandapati, Govindaraju.
author2Str Amin, Moeness G.
Mandapati, Govindaraju.
dc_title_str Autofocusing of through-the-wall radar imagery under unknown wall characteristics.
title Autofocusing of through-the-wall radar imagery under unknown wall characteristics.
title_short Autofocusing of through-the-wall radar imagery under unknown wall characteristics.
title_full Autofocusing of through-the-wall radar imagery under unknown wall characteristics.
title_fullStr Autofocusing of through-the-wall radar imagery under unknown wall characteristics.
title_full_unstemmed Autofocusing of through-the-wall radar imagery under unknown wall characteristics.
collection_title_sort_str autofocusing of through-the-wall radar imagery under unknown wall characteristics.
title_sort autofocusing of through-the-wall radar imagery under unknown wall characteristics.
description The quality and reliability of through-the-wall radar imagery is governed, among other things, by the knowledge of the wall characteristics. Ambiguities in wall characteristics smear and blur the image, and also shift the imaged target positions. An autofocusing technique, based on higher order statistics, is presented which corrects for errors under unknown walls. Simulation results show that the proposed technique provides high-quality focused images with target locations in close proximity to true target positions.
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normalized_sort_date 2007-01-01T00:00:00Z
dc_date_str 2007
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fgs.label Autofocusing of through-the-wall radar imagery under unknown wall characteristics.
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dc.title Autofocusing of through-the-wall radar imagery under unknown wall characteristics.
dc.creator Ahmad, Fauzia.
Amin, Moeness G.
Mandapati, Govindaraju.
dc.description The quality and reliability of through-the-wall radar imagery is governed, among other things, by the knowledge of the wall characteristics. Ambiguities in wall characteristics smear and blur the image, and also shift the imaged target positions. An autofocusing technique, based on higher order statistics, is presented which corrects for errors under unknown walls. Simulation results show that the proposed technique provides high-quality focused images with target locations in close proximity to true target positions.
dc.date 2007
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dc.source IEEE Transactions on Image Processing, July 2007.
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