Radar-Infrared Sensor Track Correlation Algorithm Using Gray Correlative Analysis
In the distributed multi-sensor data fusion system composed of radar and infrared sensor, the track correlation is one of the key techniques and is also sophisticated because the types of the sensors are different and both of them donpsilat possess the consistent measurement space. This paper presen...
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| creator | Huang, Youpeng Zhang, Haibo Li, Lin Zhou, Yongfeng |
| description | In the distributed multi-sensor data fusion system composed of radar and infrared sensor, the track correlation is one of the key techniques and is also sophisticated because the types of the sensors are different and both of them donpsilat possess the consistent measurement space. This paper presents a radar-infrared sensor track correlation algorithm using the grey correlation analysis of grey system theory. In this algorithm, each trackpsilas bearing information is considered as a discrete function of time, the grey correlation analysis for multi-target trackpsilas bearing information is performed by using the B-mode correlation degree, the matrix of track-to-trackpsilas grey correlation degree of the B-mode is calculated and the track correlation pairs are determined. Experimental results indicate that this algorithm can effectively accomplish track correlation for the multi-sensor data fusion system composed of radar and infrared sensor. |
| doi_str_mv | 10.1109/JCAI.2009.66 |
| format | Conference Proceeding |
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This paper presents a radar-infrared sensor track correlation algorithm using the grey correlation analysis of grey system theory. In this algorithm, each trackpsilas bearing information is considered as a discrete function of time, the grey correlation analysis for multi-target trackpsilas bearing information is performed by using the B-mode correlation degree, the matrix of track-to-trackpsilas grey correlation degree of the B-mode is calculated and the track correlation pairs are determined. Experimental results indicate that this algorithm can effectively accomplish track correlation for the multi-sensor data fusion system composed of radar and infrared sensor.</description><identifier>ISBN: 9780769536156</identifier><identifier>ISBN: 0769536158</identifier><identifier>DOI: 10.1109/JCAI.2009.66</identifier><identifier>LCCN: 2009900488</identifier><language>eng</language><publisher>IEEE</publisher><subject>Algorithm design and analysis ; Artificial intelligence ; Data engineering ; data fusion ; gray correlative analysis ; Information analysis ; Infrared sensors ; Performance analysis ; Radar tracking ; radar-infrared sensor ; Sensor fusion ; Sensor systems ; Target tracking ; track correlation</subject><ispartof>2009 International Joint Conference on Artificial Intelligence, 2009, p.707-710</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c218t-b1e0d89f96efbeba73b504cbc750b1768bbb71f497ace883e71a10a8d717f5ec3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5159101$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5159101$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Huang, Youpeng</creatorcontrib><creatorcontrib>Zhang, Haibo</creatorcontrib><creatorcontrib>Li, Lin</creatorcontrib><creatorcontrib>Zhou, Yongfeng</creatorcontrib><title>Radar-Infrared Sensor Track Correlation Algorithm Using Gray Correlative Analysis</title><title>2009 International Joint Conference on Artificial Intelligence</title><addtitle>JCAI</addtitle><description>In the distributed multi-sensor data fusion system composed of radar and infrared sensor, the track correlation is one of the key techniques and is also sophisticated because the types of the sensors are different and both of them donpsilat possess the consistent measurement space. This paper presents a radar-infrared sensor track correlation algorithm using the grey correlation analysis of grey system theory. In this algorithm, each trackpsilas bearing information is considered as a discrete function of time, the grey correlation analysis for multi-target trackpsilas bearing information is performed by using the B-mode correlation degree, the matrix of track-to-trackpsilas grey correlation degree of the B-mode is calculated and the track correlation pairs are determined. Experimental results indicate that this algorithm can effectively accomplish track correlation for the multi-sensor data fusion system composed of radar and infrared sensor.</description><subject>Algorithm design and analysis</subject><subject>Artificial intelligence</subject><subject>Data engineering</subject><subject>data fusion</subject><subject>gray correlative analysis</subject><subject>Information analysis</subject><subject>Infrared sensors</subject><subject>Performance analysis</subject><subject>Radar tracking</subject><subject>radar-infrared sensor</subject><subject>Sensor fusion</subject><subject>Sensor systems</subject><subject>Target tracking</subject><subject>track correlation</subject><isbn>9780769536156</isbn><isbn>0769536158</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFjE1Lw0AURQekoNbs3LmZP5D6XtP5WoagtVIQtV2XN8mbGk0TmQlC_70VBe_mwrmHK8Q1wgwR3O1jVa5mcwA30_pMZM5YMNqpQqPSE3H5sziAhbXnIkvpHU5RypzYhXh-oYZivupDpMiNfOU-DVFuItUfshpi5I7Gduhl2e2H2I5vB7lNbb-Xy0jHf-GLZdlTd0xtuhKTQF3i7K-nYnt_t6ke8vXTclWV67yeox1zjwyNdcFpDp49mcIrWNS-Ngo8Gm299wbDwhmq2dqCDRIC2cagCYrrYipufn9bZt59xvZA8bhTqBwCFt_OKVB0</recordid><startdate>200904</startdate><enddate>200904</enddate><creator>Huang, Youpeng</creator><creator>Zhang, Haibo</creator><creator>Li, Lin</creator><creator>Zhou, Yongfeng</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200904</creationdate><title>Radar-Infrared Sensor Track Correlation Algorithm Using Gray Correlative Analysis</title><author>Huang, Youpeng ; Zhang, Haibo ; Li, Lin ; Zhou, Yongfeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c218t-b1e0d89f96efbeba73b504cbc750b1768bbb71f497ace883e71a10a8d717f5ec3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Algorithm design and analysis</topic><topic>Artificial intelligence</topic><topic>Data engineering</topic><topic>data fusion</topic><topic>gray correlative analysis</topic><topic>Information analysis</topic><topic>Infrared sensors</topic><topic>Performance analysis</topic><topic>Radar tracking</topic><topic>radar-infrared sensor</topic><topic>Sensor fusion</topic><topic>Sensor systems</topic><topic>Target tracking</topic><topic>track correlation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Youpeng</creatorcontrib><creatorcontrib>Zhang, Haibo</creatorcontrib><creatorcontrib>Li, Lin</creatorcontrib><creatorcontrib>Zhou, Yongfeng</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Huang, Youpeng</au><au>Zhang, Haibo</au><au>Li, Lin</au><au>Zhou, Yongfeng</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Radar-Infrared Sensor Track Correlation Algorithm Using Gray Correlative Analysis</atitle><btitle>2009 International Joint Conference on Artificial Intelligence</btitle><stitle>JCAI</stitle><date>2009-04</date><risdate>2009</risdate><spage>707</spage><epage>710</epage><pages>707-710</pages><isbn>9780769536156</isbn><isbn>0769536158</isbn><abstract>In the distributed multi-sensor data fusion system composed of radar and infrared sensor, the track correlation is one of the key techniques and is also sophisticated because the types of the sensors are different and both of them donpsilat possess the consistent measurement space. This paper presents a radar-infrared sensor track correlation algorithm using the grey correlation analysis of grey system theory. In this algorithm, each trackpsilas bearing information is considered as a discrete function of time, the grey correlation analysis for multi-target trackpsilas bearing information is performed by using the B-mode correlation degree, the matrix of track-to-trackpsilas grey correlation degree of the B-mode is calculated and the track correlation pairs are determined. Experimental results indicate that this algorithm can effectively accomplish track correlation for the multi-sensor data fusion system composed of radar and infrared sensor.</abstract><pub>IEEE</pub><doi>10.1109/JCAI.2009.66</doi><tpages>4</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithm design and analysis Artificial intelligence Data engineering data fusion gray correlative analysis Information analysis Infrared sensors Performance analysis Radar tracking radar-infrared sensor Sensor fusion Sensor systems Target tracking track correlation |
| title | Radar-Infrared Sensor Track Correlation Algorithm Using Gray Correlative Analysis |
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