A General Framework for Slow and Weak Range-Spread Ground Moving Target Indication Using Airborne Multichannel High-Resolution Radar
Airborne multichannel high-resolution radar (HRR)-ground moving target indication (GMTI) is of great significance to wide-area surveillance, traffic monitoring, and target recognition. The Aerospace Information Research Institute, Chinese Academy of Sciences, produced an advanced airborne digital ar...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2022, Vol.60, p.1-16 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 16 |
|---|---|
| container_issue | |
| container_start_page | 1 |
| container_title | IEEE transactions on geoscience and remote sensing |
| container_volume | 60 |
| creator | Song, Chong Wang, Bingnan Xiang, Maosheng Dong, Qinghai Wang, Yachao Wang, Zhongbin Xu, Weidi Wang, Rongrong |
| description | Airborne multichannel high-resolution radar (HRR)-ground moving target indication (GMTI) is of great significance to wide-area surveillance, traffic monitoring, and target recognition. The Aerospace Information Research Institute, Chinese Academy of Sciences, produced an advanced airborne digital array radar with high resolution and conducted an experiment with slow and weak cooperative moving targets in 2021. In this article, an overall processing framework for target detection, parameter estimation, and target tracking using this system is introduced. For HRR detection, the echo energy of targets is spread into multiple range units, so-called range-spread targets; thus, using detectors designed for pointlike targets will severely degrade the detection performance, especially for slow and weak targets. To address the adaptive detection of such range-spread targets embedded in Gaussian clutter with an unknown covariance matrix, a novel two-step generalized space-time adaptive processing (GSTAP) algorithm is proposed, which offers an enhanced clutter suppression capability compared with natural competitors. Moreover, a tracking method is implemented in the range-Doppler domain to avoid track loss caused by azimuth relocation error and reject discrete false alarms. Both simulation and experimental results are presented to demonstrate the effectiveness of the proposed method and provide a paradigm for further research. |
| doi_str_mv | 10.1109/TGRS.2022.3174858 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_crossref_primary_10_1109_TGRS_2022_3174858</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9775675</ieee_id><sourcerecordid>2669161009</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1389-6c0f49d74fbafd62f1cb46f03c0b50a035b80301ff36e8b8937350ec172b58893</originalsourceid><addsrcrecordid>eNo9kE1Lw0AQhhdRsFZ_gHhZ8Jw6m81uNsdS7Ae0CP3AY9gks23adLduGot3f7iNFU_DzDzvDDyEPDLoMQbJy3I0X_RCCMMeZ3GkhLoiHSaECkBG0TXpAEtkEKokvCV3db0FYJFgcYd89-kILXpd0aHXezw5v6PGebqo3IlqW9B31Ds613aNweLgURd05F1zXszcZ2nXdKn9Go90Yosy18fSWbqq23m_9JnzFumsqY5lvtHWYkXH5XoTzLF2VfPLznWh_T25Mbqq8eGvdslq-LocjIPp22gy6E-DnHGVBDIHEyVFHJlMm0KGhuVZJA3wHDIBGrjIFHBgxnCJKlMJj7kAzFkcZkKd2y55vtw9ePfRYH1Mt67x9vwyDaVMmGQALcUuVO5dXXs06cGXe-2_UgZpKzttZaet7PRP9jnzdMmUiPjPJ3EsZCz4Dz_Te4U</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2669161009</pqid></control><display><type>article</type><title>A General Framework for Slow and Weak Range-Spread Ground Moving Target Indication Using Airborne Multichannel High-Resolution Radar</title><source>IEEE Electronic Library (IEL)</source><creator>Song, Chong ; Wang, Bingnan ; Xiang, Maosheng ; Dong, Qinghai ; Wang, Yachao ; Wang, Zhongbin ; Xu, Weidi ; Wang, Rongrong</creator><creatorcontrib>Song, Chong ; Wang, Bingnan ; Xiang, Maosheng ; Dong, Qinghai ; Wang, Yachao ; Wang, Zhongbin ; Xu, Weidi ; Wang, Rongrong</creatorcontrib><description>Airborne multichannel high-resolution radar (HRR)-ground moving target indication (GMTI) is of great significance to wide-area surveillance, traffic monitoring, and target recognition. The Aerospace Information Research Institute, Chinese Academy of Sciences, produced an advanced airborne digital array radar with high resolution and conducted an experiment with slow and weak cooperative moving targets in 2021. In this article, an overall processing framework for target detection, parameter estimation, and target tracking using this system is introduced. For HRR detection, the echo energy of targets is spread into multiple range units, so-called range-spread targets; thus, using detectors designed for pointlike targets will severely degrade the detection performance, especially for slow and weak targets. To address the adaptive detection of such range-spread targets embedded in Gaussian clutter with an unknown covariance matrix, a novel two-step generalized space-time adaptive processing (GSTAP) algorithm is proposed, which offers an enhanced clutter suppression capability compared with natural competitors. Moreover, a tracking method is implemented in the range-Doppler domain to avoid track loss caused by azimuth relocation error and reject discrete false alarms. Both simulation and experimental results are presented to demonstrate the effectiveness of the proposed method and provide a paradigm for further research.</description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2022.3174858</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Adaptive algorithms ; Airborne multichannel high-resolution radar (HRR) ; Airborne radar ; Airborne remote sensing ; Azimuth ; Clutter ; Competitors ; Covariance matrix ; Detection ; detection and tracking ; Detectors ; Doppler sonar ; Echoes ; False alarms ; generalized space–time adaptive processing (GSTAP) ; ground moving target indication (GMTI) ; High resolution ; Indication ; Moving targets ; Parameter estimation ; Radar ; Radar arrays ; Radar imaging ; Radar tracking ; Relocation ; Resolution ; Synthetic aperture radar ; Target detection ; Target recognition ; Target tracking ; Tracking ; Traffic surveillance</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-16</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1389-6c0f49d74fbafd62f1cb46f03c0b50a035b80301ff36e8b8937350ec172b58893</citedby><cites>FETCH-LOGICAL-c1389-6c0f49d74fbafd62f1cb46f03c0b50a035b80301ff36e8b8937350ec172b58893</cites><orcidid>0000-0002-1476-375X ; 0000-0002-7385-6171 ; 0000-0002-8823-1924 ; 0000-0002-8712-8095 ; 0000-0003-0145-2028</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9775675$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,781,785,797,4025,27928,27929,27930,54763</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9775675$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Song, Chong</creatorcontrib><creatorcontrib>Wang, Bingnan</creatorcontrib><creatorcontrib>Xiang, Maosheng</creatorcontrib><creatorcontrib>Dong, Qinghai</creatorcontrib><creatorcontrib>Wang, Yachao</creatorcontrib><creatorcontrib>Wang, Zhongbin</creatorcontrib><creatorcontrib>Xu, Weidi</creatorcontrib><creatorcontrib>Wang, Rongrong</creatorcontrib><title>A General Framework for Slow and Weak Range-Spread Ground Moving Target Indication Using Airborne Multichannel High-Resolution Radar</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description>Airborne multichannel high-resolution radar (HRR)-ground moving target indication (GMTI) is of great significance to wide-area surveillance, traffic monitoring, and target recognition. The Aerospace Information Research Institute, Chinese Academy of Sciences, produced an advanced airborne digital array radar with high resolution and conducted an experiment with slow and weak cooperative moving targets in 2021. In this article, an overall processing framework for target detection, parameter estimation, and target tracking using this system is introduced. For HRR detection, the echo energy of targets is spread into multiple range units, so-called range-spread targets; thus, using detectors designed for pointlike targets will severely degrade the detection performance, especially for slow and weak targets. To address the adaptive detection of such range-spread targets embedded in Gaussian clutter with an unknown covariance matrix, a novel two-step generalized space-time adaptive processing (GSTAP) algorithm is proposed, which offers an enhanced clutter suppression capability compared with natural competitors. Moreover, a tracking method is implemented in the range-Doppler domain to avoid track loss caused by azimuth relocation error and reject discrete false alarms. Both simulation and experimental results are presented to demonstrate the effectiveness of the proposed method and provide a paradigm for further research.</description><subject>Adaptive algorithms</subject><subject>Airborne multichannel high-resolution radar (HRR)</subject><subject>Airborne radar</subject><subject>Airborne remote sensing</subject><subject>Azimuth</subject><subject>Clutter</subject><subject>Competitors</subject><subject>Covariance matrix</subject><subject>Detection</subject><subject>detection and tracking</subject><subject>Detectors</subject><subject>Doppler sonar</subject><subject>Echoes</subject><subject>False alarms</subject><subject>generalized space–time adaptive processing (GSTAP)</subject><subject>ground moving target indication (GMTI)</subject><subject>High resolution</subject><subject>Indication</subject><subject>Moving targets</subject><subject>Parameter estimation</subject><subject>Radar</subject><subject>Radar arrays</subject><subject>Radar imaging</subject><subject>Radar tracking</subject><subject>Relocation</subject><subject>Resolution</subject><subject>Synthetic aperture radar</subject><subject>Target detection</subject><subject>Target recognition</subject><subject>Target tracking</subject><subject>Tracking</subject><subject>Traffic surveillance</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1Lw0AQhhdRsFZ_gHhZ8Jw6m81uNsdS7Ae0CP3AY9gks23adLduGot3f7iNFU_DzDzvDDyEPDLoMQbJy3I0X_RCCMMeZ3GkhLoiHSaECkBG0TXpAEtkEKokvCV3db0FYJFgcYd89-kILXpd0aHXezw5v6PGebqo3IlqW9B31Ds613aNweLgURd05F1zXszcZ2nXdKn9Go90Yosy18fSWbqq23m_9JnzFumsqY5lvtHWYkXH5XoTzLF2VfPLznWh_T25Mbqq8eGvdslq-LocjIPp22gy6E-DnHGVBDIHEyVFHJlMm0KGhuVZJA3wHDIBGrjIFHBgxnCJKlMJj7kAzFkcZkKd2y55vtw9ePfRYH1Mt67x9vwyDaVMmGQALcUuVO5dXXs06cGXe-2_UgZpKzttZaet7PRP9jnzdMmUiPjPJ3EsZCz4Dz_Te4U</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Song, Chong</creator><creator>Wang, Bingnan</creator><creator>Xiang, Maosheng</creator><creator>Dong, Qinghai</creator><creator>Wang, Yachao</creator><creator>Wang, Zhongbin</creator><creator>Xu, Weidi</creator><creator>Wang, Rongrong</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><orcidid>https://orcid.org/0000-0002-1476-375X</orcidid><orcidid>https://orcid.org/0000-0002-7385-6171</orcidid><orcidid>https://orcid.org/0000-0002-8823-1924</orcidid><orcidid>https://orcid.org/0000-0002-8712-8095</orcidid><orcidid>https://orcid.org/0000-0003-0145-2028</orcidid></search><sort><creationdate>2022</creationdate><title>A General Framework for Slow and Weak Range-Spread Ground Moving Target Indication Using Airborne Multichannel High-Resolution Radar</title><author>Song, Chong ; Wang, Bingnan ; Xiang, Maosheng ; Dong, Qinghai ; Wang, Yachao ; Wang, Zhongbin ; Xu, Weidi ; Wang, Rongrong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1389-6c0f49d74fbafd62f1cb46f03c0b50a035b80301ff36e8b8937350ec172b58893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adaptive algorithms</topic><topic>Airborne multichannel high-resolution radar (HRR)</topic><topic>Airborne radar</topic><topic>Airborne remote sensing</topic><topic>Azimuth</topic><topic>Clutter</topic><topic>Competitors</topic><topic>Covariance matrix</topic><topic>Detection</topic><topic>detection and tracking</topic><topic>Detectors</topic><topic>Doppler sonar</topic><topic>Echoes</topic><topic>False alarms</topic><topic>generalized space–time adaptive processing (GSTAP)</topic><topic>ground moving target indication (GMTI)</topic><topic>High resolution</topic><topic>Indication</topic><topic>Moving targets</topic><topic>Parameter estimation</topic><topic>Radar</topic><topic>Radar arrays</topic><topic>Radar imaging</topic><topic>Radar tracking</topic><topic>Relocation</topic><topic>Resolution</topic><topic>Synthetic aperture radar</topic><topic>Target detection</topic><topic>Target recognition</topic><topic>Target tracking</topic><topic>Tracking</topic><topic>Traffic surveillance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Song, Chong</creatorcontrib><creatorcontrib>Wang, Bingnan</creatorcontrib><creatorcontrib>Xiang, Maosheng</creatorcontrib><creatorcontrib>Dong, Qinghai</creatorcontrib><creatorcontrib>Wang, Yachao</creatorcontrib><creatorcontrib>Wang, Zhongbin</creatorcontrib><creatorcontrib>Xu, Weidi</creatorcontrib><creatorcontrib>Wang, Rongrong</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><jtitle>IEEE transactions on geoscience and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Song, Chong</au><au>Wang, Bingnan</au><au>Xiang, Maosheng</au><au>Dong, Qinghai</au><au>Wang, Yachao</au><au>Wang, Zhongbin</au><au>Xu, Weidi</au><au>Wang, Rongrong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A General Framework for Slow and Weak Range-Spread Ground Moving Target Indication Using Airborne Multichannel High-Resolution Radar</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2022</date><risdate>2022</risdate><volume>60</volume><spage>1</spage><epage>16</epage><pages>1-16</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract>Airborne multichannel high-resolution radar (HRR)-ground moving target indication (GMTI) is of great significance to wide-area surveillance, traffic monitoring, and target recognition. The Aerospace Information Research Institute, Chinese Academy of Sciences, produced an advanced airborne digital array radar with high resolution and conducted an experiment with slow and weak cooperative moving targets in 2021. In this article, an overall processing framework for target detection, parameter estimation, and target tracking using this system is introduced. For HRR detection, the echo energy of targets is spread into multiple range units, so-called range-spread targets; thus, using detectors designed for pointlike targets will severely degrade the detection performance, especially for slow and weak targets. To address the adaptive detection of such range-spread targets embedded in Gaussian clutter with an unknown covariance matrix, a novel two-step generalized space-time adaptive processing (GSTAP) algorithm is proposed, which offers an enhanced clutter suppression capability compared with natural competitors. Moreover, a tracking method is implemented in the range-Doppler domain to avoid track loss caused by azimuth relocation error and reject discrete false alarms. Both simulation and experimental results are presented to demonstrate the effectiveness of the proposed method and provide a paradigm for further research.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TGRS.2022.3174858</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-1476-375X</orcidid><orcidid>https://orcid.org/0000-0002-7385-6171</orcidid><orcidid>https://orcid.org/0000-0002-8823-1924</orcidid><orcidid>https://orcid.org/0000-0002-8712-8095</orcidid><orcidid>https://orcid.org/0000-0003-0145-2028</orcidid></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0196-2892 |
| ispartof | IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-16 |
| issn | 0196-2892 1558-0644 |
| language | eng |
| recordid | cdi_crossref_primary_10_1109_TGRS_2022_3174858 |
| source | IEEE Electronic Library (IEL) |
| subjects | Adaptive algorithms Airborne multichannel high-resolution radar (HRR) Airborne radar Airborne remote sensing Azimuth Clutter Competitors Covariance matrix Detection detection and tracking Detectors Doppler sonar Echoes False alarms generalized space–time adaptive processing (GSTAP) ground moving target indication (GMTI) High resolution Indication Moving targets Parameter estimation Radar Radar arrays Radar imaging Radar tracking Relocation Resolution Synthetic aperture radar Target detection Target recognition Target tracking Tracking Traffic surveillance |
| title | A General Framework for Slow and Weak Range-Spread Ground Moving Target Indication Using Airborne Multichannel High-Resolution Radar |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-13T12%3A52%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20General%20Framework%20for%20Slow%20and%20Weak%20Range-Spread%20Ground%20Moving%20Target%20Indication%20Using%20Airborne%20Multichannel%20High-Resolution%20Radar&rft.jtitle=IEEE%20transactions%20on%20geoscience%20and%20remote%20sensing&rft.au=Song,%20Chong&rft.date=2022&rft.volume=60&rft.spage=1&rft.epage=16&rft.pages=1-16&rft.issn=0196-2892&rft.eissn=1558-0644&rft.coden=IGRSD2&rft_id=info:doi/10.1109/TGRS.2022.3174858&rft_dat=%3Cproquest_RIE%3E2669161009%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2669161009&rft_id=info:pmid/&rft_ieee_id=9775675&rfr_iscdi=true |