SAR Images of Rooms and Buildings Based on FDTD Computer Models
This paper presents synthetic aperture radar (SAR) images of rooms and buildings based on numerical simulations, with application to sensing through the wall (STTW) scenarios. We use the finite-difference time-domain modeling technique to compute the radar return from configurations of increasing co...
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Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2009-05, Vol.47 (5), p.1388-1401 |
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description | This paper presents synthetic aperture radar (SAR) images of rooms and buildings based on numerical simulations, with application to sensing through the wall (STTW) scenarios. We use the finite-difference time-domain modeling technique to compute the radar return from configurations of increasing complexity, where humans and furniture objects are placed in a room. We apply SAR image formation techniques and analyze the images obtained for various wall materials, aspect angles, and radar parameters. We investigate the multipath propagation issues relevant to STTW imaging radar and discuss the radar parameter tradeoff based on image quality. We also look at images obtained in cross-polarization, demonstrating how this radar operational mode can achieve significant clutter rejection. The phenomenological results obtained in this paper can be used as guidance by radar engineers in order to optimize the performance of STTW SAR imaging systems. |
doi_str_mv | 10.1109/TGRS.2009.2013841 |
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The phenomenological results obtained in this paper can be used as guidance by radar engineers in order to optimize the performance of STTW SAR imaging systems.</description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2009.2013841</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Application software ; Buildings ; Computational electromagnetics (CEMs) ; Computer simulation ; Finite difference methods ; Humans ; Image analysis ; Image quality ; Imaging radar ; Mathematical models ; Numerical simulation ; Radar ; Radar clutter ; Radar imaging ; Synthetic aperture radar ; synthetic aperture radar (SAR) ; Time domain analysis ; Walls</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2009-05, Vol.47 (5), p.1388-1401</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c355t-ff9114e0100a3b7fd3effedba0e7e1d907059064b4a163869621ef2a8608acfb3</citedby><cites>FETCH-LOGICAL-c355t-ff9114e0100a3b7fd3effedba0e7e1d907059064b4a163869621ef2a8608acfb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4808215$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4808215$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Dogaru, T.</creatorcontrib><creatorcontrib>Le, C.</creatorcontrib><title>SAR Images of Rooms and Buildings Based on FDTD Computer Models</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description>This paper presents synthetic aperture radar (SAR) images of rooms and buildings based on numerical simulations, with application to sensing through the wall (STTW) scenarios. We use the finite-difference time-domain modeling technique to compute the radar return from configurations of increasing complexity, where humans and furniture objects are placed in a room. We apply SAR image formation techniques and analyze the images obtained for various wall materials, aspect angles, and radar parameters. We investigate the multipath propagation issues relevant to STTW imaging radar and discuss the radar parameter tradeoff based on image quality. We also look at images obtained in cross-polarization, demonstrating how this radar operational mode can achieve significant clutter rejection. The phenomenological results obtained in this paper can be used as guidance by radar engineers in order to optimize the performance of STTW SAR imaging systems.</description><subject>Application software</subject><subject>Buildings</subject><subject>Computational electromagnetics (CEMs)</subject><subject>Computer simulation</subject><subject>Finite difference methods</subject><subject>Humans</subject><subject>Image analysis</subject><subject>Image quality</subject><subject>Imaging radar</subject><subject>Mathematical models</subject><subject>Numerical simulation</subject><subject>Radar</subject><subject>Radar clutter</subject><subject>Radar imaging</subject><subject>Synthetic aperture radar</subject><subject>synthetic aperture radar (SAR)</subject><subject>Time domain analysis</subject><subject>Walls</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kD1v2zAQhokiBeKk_QFBFyJDO8m5Ez9ETkHi1E4AFwVsdyZo6xjIkERXtIb8-9Jw0KFDl7vlee_jYewGYYoI9m6zWK2nJYDNBYWR-IFNUClTgJbygk0ArS5KY8tLdpXSHgClwmrC7tcPK_7S-VdKPAa-irFL3Pc1fxybtm7618QffaKax57PnzZPfBa7w3ikgf-INbXpE_sYfJvo83u_Zr_m3zez52L5c_Eye1gWO6HUsQjBIkoCBPBiW4VaUAhUbz1QRVhbqEDZfOpWetTCaKtLpFB6o8H4XdiKa_btPPcwxN8jpaPrmrSjtvU9xTG5HDHSKiUz-fW_pNBCVnlFBm__AfdxHPr8hTOqklqAFhnCM7QbYkoDBXcYms4Pbw7Bncy7k3l3Mu_ezefMl3OmIaK_vDRgSlTiDxjxfGg</recordid><startdate>20090501</startdate><enddate>20090501</enddate><creator>Dogaru, T.</creator><creator>Le, C.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>7SP</scope><scope>F28</scope></search><sort><creationdate>20090501</creationdate><title>SAR Images of Rooms and Buildings Based on FDTD Computer Models</title><author>Dogaru, T. ; Le, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c355t-ff9114e0100a3b7fd3effedba0e7e1d907059064b4a163869621ef2a8608acfb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Application software</topic><topic>Buildings</topic><topic>Computational electromagnetics (CEMs)</topic><topic>Computer simulation</topic><topic>Finite difference methods</topic><topic>Humans</topic><topic>Image analysis</topic><topic>Image quality</topic><topic>Imaging radar</topic><topic>Mathematical models</topic><topic>Numerical simulation</topic><topic>Radar</topic><topic>Radar clutter</topic><topic>Radar imaging</topic><topic>Synthetic aperture radar</topic><topic>synthetic aperture radar (SAR)</topic><topic>Time domain analysis</topic><topic>Walls</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dogaru, T.</creatorcontrib><creatorcontrib>Le, C.</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>Dogaru, T.</au><au>Le, C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SAR Images of Rooms and Buildings Based on FDTD Computer Models</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2009-05-01</date><risdate>2009</risdate><volume>47</volume><issue>5</issue><spage>1388</spage><epage>1401</epage><pages>1388-1401</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract>This paper presents synthetic aperture radar (SAR) images of rooms and buildings based on numerical simulations, with application to sensing through the wall (STTW) scenarios. We use the finite-difference time-domain modeling technique to compute the radar return from configurations of increasing complexity, where humans and furniture objects are placed in a room. We apply SAR image formation techniques and analyze the images obtained for various wall materials, aspect angles, and radar parameters. We investigate the multipath propagation issues relevant to STTW imaging radar and discuss the radar parameter tradeoff based on image quality. We also look at images obtained in cross-polarization, demonstrating how this radar operational mode can achieve significant clutter rejection. The phenomenological results obtained in this paper can be used as guidance by radar engineers in order to optimize the performance of STTW SAR imaging systems.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TGRS.2009.2013841</doi><tpages>14</tpages></addata></record> |
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subjects | Application software Buildings Computational electromagnetics (CEMs) Computer simulation Finite difference methods Humans Image analysis Image quality Imaging radar Mathematical models Numerical simulation Radar Radar clutter Radar imaging Synthetic aperture radar synthetic aperture radar (SAR) Time domain analysis Walls |
title | SAR Images of Rooms and Buildings Based on FDTD Computer Models |
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