Advances in Angle-Only Filtering and Tracking in Two and Three Dimensions
Two-dimensional bearing-only filtering (BOF) arises in many real-world tracking problems, including underwater tracking using a passive sonar, aircraft surveillance using a passive radar, navigation of a robot using a passive sonar, and undersea exploration of natural resources using sonar. BOF usin...
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| Format: | Online |
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| Sprog: | engelsk |
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MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Online adgang: | ONIX_20230511_9783036568546_57 |
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| collection | Directory of Open Access Books |
| description | Two-dimensional bearing-only filtering (BOF) arises in many real-world tracking problems, including underwater tracking using a passive sonar, aircraft surveillance using a passive radar, navigation of a robot using a passive sonar, and undersea exploration of natural resources using sonar. BOF using a single sensor is also a challenging nonlinear filtering problem due to poor observability and the nonlinear measurement model. This filtering problem and associated tracking problem have been studied extensively. Three-dimensional angle-only filtering (AOF) is a two-dimensional counterpart of BOF . Real-world AOF problems include passive ranging using an infrared search and track (IRST) sensor, passive sonar, passive radar in the presence of jamming, ballistic missile and satellite tacking using a telescope, satellite to satellite passive tracking, and missile guidance using bearing-only seekers. The number of publications in the AOF and angle-only tracking in 3D is rather limited compared with the corresponding problems in 2D. |
| format | Online |
| id | doab-20.500.12854ir-100040 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1000402024-04-11T15:11:02Z Advances in Angle-Only Filtering and Tracking in Two and Three Dimensions Mallick, Mahendra Tharmarasa, Ratnasingham target motion analysis observability fisher information matrix Cramér–Rao lower bound conical angles nonlinear estimation bearings-only tracking pseudolinear estimation correlation analysis MMSE framework bearing-only source localization robust estimation least Lp-norm total Lp-norm optimization hybrid localization differential received signal strength localization bearings-only localization maximum likelihood pseudolinear estimator least squares instrumental variables intelligence-aware estimation radar constrained MLE data fusion smart estimation intelligence analysis critical infrastructure protection evolutionary ant colony optimization MIDACO-SOLVER angle-only sensor terrain uncertainty posterior Cramer–Rao lower bound bias estimation path planning angle-only filtering in 3D infrared search and track (IRST) sensor maneuvering target tracking cubature Kalman filter (CKF) Itô stochastic differential equation passive sensor network signal localization data association angle-only measurements accuracy analysis bearings-only multisensor-multitarget tracking multidimensional assignment (MDA) coarse gating Mahalanobis distance maximum likelihood estimation multiple hypothesis tracking nonlinear filtering non Gaussian noise maximum correntropy criterion Gaussian kernel Cauchy kernel passive sensor networks angle-only observations optimal target–sensor geometries Fisher information matrix Bayesian estimation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Two-dimensional bearing-only filtering (BOF) arises in many real-world tracking problems, including underwater tracking using a passive sonar, aircraft surveillance using a passive radar, navigation of a robot using a passive sonar, and undersea exploration of natural resources using sonar. BOF using a single sensor is also a challenging nonlinear filtering problem due to poor observability and the nonlinear measurement model. This filtering problem and associated tracking problem have been studied extensively. Three-dimensional angle-only filtering (AOF) is a two-dimensional counterpart of BOF . Real-world AOF problems include passive ranging using an infrared search and track (IRST) sensor, passive sonar, passive radar in the presence of jamming, ballistic missile and satellite tacking using a telescope, satellite to satellite passive tracking, and missile guidance using bearing-only seekers. The number of publications in the AOF and angle-only tracking in 3D is rather limited compared with the corresponding problems in 2D. 2023-05-11T17:17:56Z 2023-05-11T17:17:56Z 2023 book ONIX_20230511_9783036568546_57 9783036568546 9783036568553 https://directory.doabooks.org/handle/20.500.12854/100040 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7133 https://mdpi.com/books/pdfview/book/7133 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6855-3 10.3390/books978-3-0365-6855-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036568546 9783036568553 266 Basel open access |
| spellingShingle | target motion analysis observability fisher information matrix Cramér–Rao lower bound conical angles nonlinear estimation bearings-only tracking pseudolinear estimation correlation analysis MMSE framework bearing-only source localization robust estimation least Lp-norm total Lp-norm optimization hybrid localization differential received signal strength localization bearings-only localization maximum likelihood pseudolinear estimator least squares instrumental variables intelligence-aware estimation radar constrained MLE data fusion smart estimation intelligence analysis critical infrastructure protection evolutionary ant colony optimization MIDACO-SOLVER angle-only sensor terrain uncertainty posterior Cramer–Rao lower bound bias estimation path planning angle-only filtering in 3D infrared search and track (IRST) sensor maneuvering target tracking cubature Kalman filter (CKF) Itô stochastic differential equation passive sensor network signal localization data association angle-only measurements accuracy analysis bearings-only multisensor-multitarget tracking multidimensional assignment (MDA) coarse gating Mahalanobis distance maximum likelihood estimation multiple hypothesis tracking nonlinear filtering non Gaussian noise maximum correntropy criterion Gaussian kernel Cauchy kernel passive sensor networks angle-only observations optimal target–sensor geometries Fisher information matrix Bayesian estimation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Advances in Angle-Only Filtering and Tracking in Two and Three Dimensions |
| title | Advances in Angle-Only Filtering and Tracking in Two and Three Dimensions |
| title_full | Advances in Angle-Only Filtering and Tracking in Two and Three Dimensions |
| title_fullStr | Advances in Angle-Only Filtering and Tracking in Two and Three Dimensions |
| title_full_unstemmed | Advances in Angle-Only Filtering and Tracking in Two and Three Dimensions |
| title_short | Advances in Angle-Only Filtering and Tracking in Two and Three Dimensions |
| title_sort | advances in angle only filtering and tracking in two and three dimensions |
| topic | target motion analysis observability fisher information matrix Cramér–Rao lower bound conical angles nonlinear estimation bearings-only tracking pseudolinear estimation correlation analysis MMSE framework bearing-only source localization robust estimation least Lp-norm total Lp-norm optimization hybrid localization differential received signal strength localization bearings-only localization maximum likelihood pseudolinear estimator least squares instrumental variables intelligence-aware estimation radar constrained MLE data fusion smart estimation intelligence analysis critical infrastructure protection evolutionary ant colony optimization MIDACO-SOLVER angle-only sensor terrain uncertainty posterior Cramer–Rao lower bound bias estimation path planning angle-only filtering in 3D infrared search and track (IRST) sensor maneuvering target tracking cubature Kalman filter (CKF) Itô stochastic differential equation passive sensor network signal localization data association angle-only measurements accuracy analysis bearings-only multisensor-multitarget tracking multidimensional assignment (MDA) coarse gating Mahalanobis distance maximum likelihood estimation multiple hypothesis tracking nonlinear filtering non Gaussian noise maximum correntropy criterion Gaussian kernel Cauchy kernel passive sensor networks angle-only observations optimal target–sensor geometries Fisher information matrix Bayesian estimation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | target motion analysis observability fisher information matrix Cramér–Rao lower bound conical angles nonlinear estimation bearings-only tracking pseudolinear estimation correlation analysis MMSE framework bearing-only source localization robust estimation least Lp-norm total Lp-norm optimization hybrid localization differential received signal strength localization bearings-only localization maximum likelihood pseudolinear estimator least squares instrumental variables intelligence-aware estimation radar constrained MLE data fusion smart estimation intelligence analysis critical infrastructure protection evolutionary ant colony optimization MIDACO-SOLVER angle-only sensor terrain uncertainty posterior Cramer–Rao lower bound bias estimation path planning angle-only filtering in 3D infrared search and track (IRST) sensor maneuvering target tracking cubature Kalman filter (CKF) Itô stochastic differential equation passive sensor network signal localization data association angle-only measurements accuracy analysis bearings-only multisensor-multitarget tracking multidimensional assignment (MDA) coarse gating Mahalanobis distance maximum likelihood estimation multiple hypothesis tracking nonlinear filtering non Gaussian noise maximum correntropy criterion Gaussian kernel Cauchy kernel passive sensor networks angle-only observations optimal target–sensor geometries Fisher information matrix Bayesian estimation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20230511_9783036568546_57 |