The Accurate Continuous-Discrete Extended Kalman Filter for Radar Tracking
This paper elaborates the Accurate Continuous-Discrete Extended Kalman Filter grounded in an ODE solver with global error control and its comparison to the Continuous-Discrete Cubature and Unscented Kalman Filters. All these state estimators are examined in severe conditions of tackling a seven-dime...
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| Veröffentlicht in: | IEEE transactions on signal processing 2016-02, Vol.64 (4), p.948-958 |
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| container_title | IEEE transactions on signal processing |
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| creator | Kulikov, Gennady Yu Kulikova, Maria V. |
| description | This paper elaborates the Accurate Continuous-Discrete Extended Kalman Filter grounded in an ODE solver with global error control and its comparison to the Continuous-Discrete Cubature and Unscented Kalman Filters. All these state estimators are examined in severe conditions of tackling a seven-dimensional radar tracking problem, where an aircraft executes a coordinated turn. The latter is considered to be a challenging one for testing nonlinear filtering algorithms. Our numerical results show that all the methods can be used for practical target tracking, but the Accurate Continuous-Discrete Extended Kalman Filter is more flexible and robust. It treats successfully (and without any manual tuning) the air traffic control scenario for various initial data and for a range of sampling times. |
| doi_str_mv | 10.1109/TSP.2015.2493985 |
| format | Article |
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(IEEE) Feb 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c324t-deaa69c8d343fbe02b465295c16bd21e7cd11dd93e53e834150e8566098a239e3</citedby><cites>FETCH-LOGICAL-c324t-deaa69c8d343fbe02b465295c16bd21e7cd11dd93e53e834150e8566098a239e3</cites><orcidid>0000-0002-1663-6009</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7307216$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27903,27904,54737</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7307216$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kulikov, Gennady Yu</creatorcontrib><creatorcontrib>Kulikova, Maria V.</creatorcontrib><title>The Accurate Continuous-Discrete Extended Kalman Filter for Radar Tracking</title><title>IEEE transactions on signal processing</title><addtitle>TSP</addtitle><description>This paper elaborates the Accurate Continuous-Discrete Extended Kalman Filter grounded in an ODE solver with global error control and its comparison to the Continuous-Discrete Cubature and Unscented Kalman Filters. 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It treats successfully (and without any manual tuning) the air traffic control scenario for various initial data and for a range of sampling times.</description><subject>Accurate continuous-discrete extended Kalman filter</subject><subject>Aircraft</subject><subject>Algorithms</subject><subject>continuous-discrete cubature Kalman filter</subject><subject>continuous-discrete stochastic model</subject><subject>continuous-discrete unscented Kalman filter</subject><subject>Covariance matrices</subject><subject>Extended Kalman filter</subject><subject>Filtering</subject><subject>Filtration</subject><subject>Kalman filters</subject><subject>Mathematical model</subject><subject>Radar tracking</subject><subject>Sampling</subject><subject>Signal processing algorithms</subject><subject>Stochastic processes</subject><subject>Time measurement</subject><subject>Tuning</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1LAzEQhoMoWKt3wcuCFy9b853NsdTWr4KiK3gLaTLVrdvdmuyC_nsjLR48zTA87_DyIHRK8IgQrC_L58cRxUSMKNdMF2IPDYjmJMdcyf20Y8FyUajXQ3QU4wpjwrmWA3RXvkM2dq4PtoNs0jZd1fRtH_OrKroA6Tb96qDx4LN7W69tk82quoOQLduQPVlvQ1YG6z6q5u0YHSxtHeFkN4foZTYtJzf5_OH6djKe545R3uUerJXaFZ5xtlwApgsuBdXCEbnwlIBynhDvNQPBoGCcCAyFkBLrwlKmgQ3RxfbvJrSfPcTOrFNXqGvbQGpuSMGE5EIWKqHn_9BV24cmtTNECY2F4oImCm8pF9oYAyzNJlRrG74NweZXrklyza9cs5ObImfbSAUAf7hiWFEi2Q8a53QV</recordid><startdate>20160215</startdate><enddate>20160215</enddate><creator>Kulikov, Gennady Yu</creator><creator>Kulikova, Maria V.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| ispartof | IEEE transactions on signal processing, 2016-02, Vol.64 (4), p.948-958 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Accurate continuous-discrete extended Kalman filter Aircraft Algorithms continuous-discrete cubature Kalman filter continuous-discrete stochastic model continuous-discrete unscented Kalman filter Covariance matrices Extended Kalman filter Filtering Filtration Kalman filters Mathematical model Radar tracking Sampling Signal processing algorithms Stochastic processes Time measurement Tuning |
| title | The Accurate Continuous-Discrete Extended Kalman Filter for Radar Tracking |
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