Hybrid tracking of maneuvering multiple-aircraft in 3D space
This paper investigates a design of three-dimensional multiple-aircraft tracking and identification. For this, we combined the nonlinear 3D constant-turn model and multiple-target tracking and identity management (MTIM) algorithm. The MTIM algorithm, proposed by Hwang, can keep track of multiple air...
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| creator | Kyungho Yoo Daehee Won Sangkyung Sung Young Jae Lee |
| description | This paper investigates a design of three-dimensional multiple-aircraft tracking and identification. For this, we combined the nonlinear 3D constant-turn model and multiple-target tracking and identity management (MTIM) algorithm. The MTIM algorithm, proposed by Hwang, can keep track of multiple aircraft and their identities. We used a conventional hybrid estimator, known as interacting multiple model (IMM) algorithm, for estimating the continuous and discrete state simultaneously. Based on the automatic dependent surveillance-broadcast (ADS-B) concept, the position and velocity of the aircraft is assumed to be obtained from the GPS navigation data. The simulation study demonstrates that the extended framework of the MTIM algorithm performs well in 3D space. |
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The simulation study demonstrates that the extended framework of the MTIM algorithm performs well in 3D space.</description><subject>3D space</subject><subject>Aerospace engineering</subject><subject>Air traffic control</subject><subject>Aircraft navigation</subject><subject>Angular velocity</subject><subject>Filters</subject><subject>Global Positioning System</subject><subject>GPS</subject><subject>Hybrid Estimation</subject><subject>Identity management systems</subject><subject>IMM</subject><subject>MTIM</subject><subject>State estimation</subject><subject>Target tracking</subject><subject>Traffic control</subject><isbn>9784907764340</isbn><isbn>4907764340</isbn><isbn>9784907764333</isbn><isbn>4907764332</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVzMtKw0AUgOERKShtnsDNvEDgTM5cMuBG6qVCoZvuy8nMGRlNYpikQt9eRDeufr7NfyUq71rtwTmrEfH6nzXciGqe3wFAeesa9LfifnfpSo5yKRQ-8vgmP5McaOTzF5cfDud-yVPPNeUSCqVF5lHio5wnCrwRq0T9zNVf1-L4_HTc7ur94eV1-7Cvs4eltuBaxUDahWBsqwkVRjIKjScdLTa-SaxaZ4Cd6kwiFSEF7oxLUXcKcS3ufreZmU9TyQOVy8kgamUMfgM3fkN6</recordid><startdate>200908</startdate><enddate>200908</enddate><creator>Kyungho Yoo</creator><creator>Daehee Won</creator><creator>Sangkyung Sung</creator><creator>Young Jae Lee</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200908</creationdate><title>Hybrid tracking of maneuvering multiple-aircraft in 3D space</title><author>Kyungho Yoo ; Daehee Won ; Sangkyung Sung ; Young Jae Lee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-60781e0a47cc5684a313da51359a4d63292fe18750e71b5fa1d0fceb57fd4b133</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>3D space</topic><topic>Aerospace engineering</topic><topic>Air traffic control</topic><topic>Aircraft navigation</topic><topic>Angular velocity</topic><topic>Filters</topic><topic>Global Positioning System</topic><topic>GPS</topic><topic>Hybrid Estimation</topic><topic>Identity management systems</topic><topic>IMM</topic><topic>MTIM</topic><topic>State estimation</topic><topic>Target tracking</topic><topic>Traffic control</topic><toplevel>online_resources</toplevel><creatorcontrib>Kyungho Yoo</creatorcontrib><creatorcontrib>Daehee Won</creatorcontrib><creatorcontrib>Sangkyung Sung</creatorcontrib><creatorcontrib>Young Jae Lee</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>Kyungho Yoo</au><au>Daehee Won</au><au>Sangkyung Sung</au><au>Young Jae Lee</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Hybrid tracking of maneuvering multiple-aircraft in 3D space</atitle><btitle>2009 ICCAS-SICE</btitle><stitle>ICCAS-SICE</stitle><date>2009-08</date><risdate>2009</risdate><spage>3239</spage><epage>3244</epage><pages>3239-3244</pages><isbn>9784907764340</isbn><isbn>4907764340</isbn><eisbn>9784907764333</eisbn><eisbn>4907764332</eisbn><abstract>This paper investigates a design of three-dimensional multiple-aircraft tracking and identification. For this, we combined the nonlinear 3D constant-turn model and multiple-target tracking and identity management (MTIM) algorithm. The MTIM algorithm, proposed by Hwang, can keep track of multiple aircraft and their identities. We used a conventional hybrid estimator, known as interacting multiple model (IMM) algorithm, for estimating the continuous and discrete state simultaneously. Based on the automatic dependent surveillance-broadcast (ADS-B) concept, the position and velocity of the aircraft is assumed to be obtained from the GPS navigation data. The simulation study demonstrates that the extended framework of the MTIM algorithm performs well in 3D space.</abstract><pub>IEEE</pub><tpages>6</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | 3D space Aerospace engineering Air traffic control Aircraft navigation Angular velocity Filters Global Positioning System GPS Hybrid Estimation Identity management systems IMM MTIM State estimation Target tracking Traffic control |
| title | Hybrid tracking of maneuvering multiple-aircraft in 3D space |
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