Buried-Object Time-Reversal Imaging Using UWB Near-Ground Scattered Fields
In this paper, the problem of time-reversal imaging (TRI) of buried dielectric and metallic targets under Gaussian rough surfaces is studied. For the scattering problem, a parallel finite-difference time-domain technique is used. Using a multistatic scattering matrix of a TR operator at a frequency...
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| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2014-11, Vol.52 (11), p.7317-7326 |
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| creator | Moghadasi, S. Mahdi Dehmollaian, Mojtaba |
| description | In this paper, the problem of time-reversal imaging (TRI) of buried dielectric and metallic targets under Gaussian rough surfaces is studied. For the scattering problem, a parallel finite-difference time-domain technique is used. Using a multistatic scattering matrix of a TR operator at a frequency range of 0.5-2.5 GHz, ultrawideband (UWB) TR multiple signal classification images are calculated. First, to reduce the clutter influence, near-ground UWB scattered fields are used. It is shown that employing received signals near the ground instead of those at the transmitter height improves the signal-to-clutter power ratio by at least 10 dB at 1 GHz. Second, a time-gated (TG) TRI algorithm is proposed to better detect and localize buried targets in the presence of clutter. Third, once the TG TR images are obtained, best single-frequency TR images are calculated, yielding even better target localization. |
| doi_str_mv | 10.1109/TGRS.2014.2311131 |
| format | Article |
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Mahdi</creatorcontrib><creatorcontrib>Dehmollaian, Mojtaba</creatorcontrib><title>Buried-Object Time-Reversal Imaging Using UWB Near-Ground Scattered Fields</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description>In this paper, the problem of time-reversal imaging (TRI) of buried dielectric and metallic targets under Gaussian rough surfaces is studied. For the scattering problem, a parallel finite-difference time-domain technique is used. Using a multistatic scattering matrix of a TR operator at a frequency range of 0.5-2.5 GHz, ultrawideband (UWB) TR multiple signal classification images are calculated. First, to reduce the clutter influence, near-ground UWB scattered fields are used. It is shown that employing received signals near the ground instead of those at the transmitter height improves the signal-to-clutter power ratio by at least 10 dB at 1 GHz. Second, a time-gated (TG) TRI algorithm is proposed to better detect and localize buried targets in the presence of clutter. Third, once the TG TR images are obtained, best single-frequency TR images are calculated, yielding even better target localization.</description><subject>Algorithms</subject><subject>Bistatic scattering</subject><subject>Clutter</subject><subject>Finite difference methods</subject><subject>forward-looking ground-penetrating radar (FL-GPR)</subject><subject>Imaging</subject><subject>Mathematical analysis</subject><subject>Position (location)</subject><subject>rough ground</subject><subject>Rough surfaces</subject><subject>Scattering</subject><subject>Signal classification</subject><subject>Surface roughness</subject><subject>Thyristors</subject><subject>Time-domain analysis</subject><subject>time-gated (TG) time reversal (TR)</subject><subject>TR imaging (TRI)</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1Lw0AQhhdRsH78APES8OIldWY_k6OK1kqxUCsel00ykZR86G4i-O9NrXjwMu9hnncYHsbOEKaIkF6tZ6vnKQeUUy4QUeAem6BSSQxayn02AUx1zJOUH7KjEDYwkgrNhD3eDL6iIl5mG8r7aF01FK_ok3xwdTRv3FvVvkUv4We-3kRP5Hw8893QFtFz7vqePBXRfUV1EU7YQenqQKe_ecxe7u_Wtw_xYjmb314v4lxw3cfSpYqLElOXIzekQSvJlZPgihxLBeNK69KBywzI0mWZMSbNCTJwrkwEF8fscnf33XcfA4XeNlXIqa5dS90QLCaoQZlEmxG9-IduusG343cWldQAEqUeKdxRue9C8FTad181zn9ZBLu1a7d27dau_bU7ds53nYqI_nhtEimkEN_T9XPV</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Moghadasi, S. 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Mahdi ; Dehmollaian, Mojtaba</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-4a9523f19ac127e6065425a40adc1f503f166fa0ab704fabb7779ce0b0aaf8323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Algorithms</topic><topic>Bistatic scattering</topic><topic>Clutter</topic><topic>Finite difference methods</topic><topic>forward-looking ground-penetrating radar (FL-GPR)</topic><topic>Imaging</topic><topic>Mathematical analysis</topic><topic>Position (location)</topic><topic>rough ground</topic><topic>Rough surfaces</topic><topic>Scattering</topic><topic>Signal classification</topic><topic>Surface roughness</topic><topic>Thyristors</topic><topic>Time-domain analysis</topic><topic>time-gated (TG) time reversal (TR)</topic><topic>TR imaging (TRI)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moghadasi, S. Mahdi</creatorcontrib><creatorcontrib>Dehmollaian, Mojtaba</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Electronics & Communications Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on geoscience and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Moghadasi, S. Mahdi</au><au>Dehmollaian, Mojtaba</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Buried-Object Time-Reversal Imaging Using UWB Near-Ground Scattered Fields</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2014-11-01</date><risdate>2014</risdate><volume>52</volume><issue>11</issue><spage>7317</spage><epage>7326</epage><pages>7317-7326</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract>In this paper, the problem of time-reversal imaging (TRI) of buried dielectric and metallic targets under Gaussian rough surfaces is studied. For the scattering problem, a parallel finite-difference time-domain technique is used. Using a multistatic scattering matrix of a TR operator at a frequency range of 0.5-2.5 GHz, ultrawideband (UWB) TR multiple signal classification images are calculated. First, to reduce the clutter influence, near-ground UWB scattered fields are used. It is shown that employing received signals near the ground instead of those at the transmitter height improves the signal-to-clutter power ratio by at least 10 dB at 1 GHz. Second, a time-gated (TG) TRI algorithm is proposed to better detect and localize buried targets in the presence of clutter. Third, once the TG TR images are obtained, best single-frequency TR images are calculated, yielding even better target localization.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TGRS.2014.2311131</doi><tpages>10</tpages></addata></record> |
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| ispartof | IEEE transactions on geoscience and remote sensing, 2014-11, Vol.52 (11), p.7317-7326 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Bistatic scattering Clutter Finite difference methods forward-looking ground-penetrating radar (FL-GPR) Imaging Mathematical analysis Position (location) rough ground Rough surfaces Scattering Signal classification Surface roughness Thyristors Time-domain analysis time-gated (TG) time reversal (TR) TR imaging (TRI) |
| title | Buried-Object Time-Reversal Imaging Using UWB Near-Ground Scattered Fields |
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