Blurness and focusing–defocusing for through-the-wall radar imaging with wall ambiguities.

One of the main problems facing Through the Wall Radar Imaging (TWRI) application is determining the wall characteristics at small or large stand-ofs distances. Wall ambiguities cause the image to change in intensity and shijt in position. Several contrast based metrics have been introduced in the p...

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Main Authors: Mandapati, Govinda., Amin, Moeness.
Format: Villanova Faculty Authorship
Language:English
Published: 2004
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spelling Blurness and focusing–defocusing for through-the-wall radar imaging with wall ambiguities.
Mandapati, Govinda.
Amin, Moeness.
One of the main problems facing Through the Wall Radar Imaging (TWRI) application is determining the wall characteristics at small or large stand-ofs distances. Wall ambiguities cause the image to change in intensity and shijt in position. Several contrast based metrics have been introduced in the past to auto-focus the image in both radar and sonar applications. These metrics, although useful under high wall ambiguities, they are not sensitive to incremental errors. In this paper, we introduce new criteria that are sensitive to small errors in wall thickness and dielectric constant. These criteria use higher order statistics. The Gamma correction, widely used in image processing, is used to preprocess the image to enhance the sensitivity to wall errors. Simulation results show that the new metrics assume Large drop in values with small deviationsfrom the correct wall parameters
2004
Villanova Faculty Authorship
vudl:173195
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, Rome, Italy, December 2004.
en
dc.title_txt_mv Blurness and focusing–defocusing for through-the-wall radar imaging with wall ambiguities.
dc.creator_txt_mv Mandapati, Govinda.
Amin, Moeness.
dc.description_txt_mv One of the main problems facing Through the Wall Radar Imaging (TWRI) application is determining the wall characteristics at small or large stand-ofs distances. Wall ambiguities cause the image to change in intensity and shijt in position. Several contrast based metrics have been introduced in the past to auto-focus the image in both radar and sonar applications. These metrics, although useful under high wall ambiguities, they are not sensitive to incremental errors. In this paper, we introduce new criteria that are sensitive to small errors in wall thickness and dielectric constant. These criteria use higher order statistics. The Gamma correction, widely used in image processing, is used to preprocess the image to enhance the sensitivity to wall errors. Simulation results show that the new metrics assume Large drop in values with small deviationsfrom the correct wall parameters
dc.date_txt_mv 2004
dc.format_txt_mv Villanova Faculty Authorship
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dc.source_txt_mv Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, Rome, Italy, December 2004.
dc.language_txt_mv en
author Mandapati, Govinda.
Amin, Moeness.
spellingShingle Mandapati, Govinda.
Amin, Moeness.
Blurness and focusing–defocusing for through-the-wall radar imaging with wall ambiguities.
author_facet Mandapati, Govinda.
Amin, Moeness.
dc_source_str_mv Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, Rome, Italy, December 2004.
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dc_date_str 2004
dc_title_str Blurness and focusing–defocusing for through-the-wall radar imaging with wall ambiguities.
description One of the main problems facing Through the Wall Radar Imaging (TWRI) application is determining the wall characteristics at small or large stand-ofs distances. Wall ambiguities cause the image to change in intensity and shijt in position. Several contrast based metrics have been introduced in the past to auto-focus the image in both radar and sonar applications. These metrics, although useful under high wall ambiguities, they are not sensitive to incremental errors. In this paper, we introduce new criteria that are sensitive to small errors in wall thickness and dielectric constant. These criteria use higher order statistics. The Gamma correction, widely used in image processing, is used to preprocess the image to enhance the sensitivity to wall errors. Simulation results show that the new metrics assume Large drop in values with small deviationsfrom the correct wall parameters
title Blurness and focusing–defocusing for through-the-wall radar imaging with wall ambiguities.
title_full Blurness and focusing–defocusing for through-the-wall radar imaging with wall ambiguities.
title_fullStr Blurness and focusing–defocusing for through-the-wall radar imaging with wall ambiguities.
title_full_unstemmed Blurness and focusing–defocusing for through-the-wall radar imaging with wall ambiguities.
title_short Blurness and focusing–defocusing for through-the-wall radar imaging with wall ambiguities.
title_sort blurness and focusing–defocusing for through-the-wall radar imaging with wall ambiguities.
publishDate 2004
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