Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 송택렬 | - |
dc.date.accessioned | 2018-03-14T00:31:57Z | - |
dc.date.available | 2018-03-14T00:31:57Z | - |
dc.date.issued | 2015-12 | - |
dc.identifier.citation | IET RADAR SONAR AND NAVIGATION, v. 9, No. 9, Page. 1330-1337 | en_US |
dc.identifier.issn | 1751-8784 | - |
dc.identifier.issn | 1751-8792 | - |
dc.identifier.uri | http://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2015.0110 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/46391 | - |
dc.description.abstract | This study develops a two-scan data association algorithm for the hybrid target state, which consists of the target trajectory state and the target existence state. The proposed method uses the sliding window-based approach for the multi-scan data association. It updates the target existence state by considering all the feasible multi-scan target existence events in the sliding window. The proposed method also updates the target trajectory state by calculating the joint association events in the sliding window. Performance of the proposed algorithm is compared with that of the integrated track splitting algorithm and the integrated probabilistic data association algorithm for various conditions. | en_US |
dc.description.sponsorship | This work was supported by the Defense Acquisition Program Administration and Agency for Defense Development under the contract UD130007DD. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | INST ENGINEERING TECHNOLOGY-IET | en_US |
dc.subject | target tracking | en_US |
dc.subject | sensor fusion | en_US |
dc.subject | probability | en_US |
dc.subject | target tracking | en_US |
dc.subject | two scan data association algorithm | en_US |
dc.subject | hybrid target state | en_US |
dc.subject | target trajectory state | en_US |
dc.subject | target existence state | en_US |
dc.subject | sliding window based approach | en_US |
dc.subject | multiscan data association | en_US |
dc.subject | joint association | en_US |
dc.subject | integrated track splitting algorithm | en_US |
dc.subject | integrated probabilistic data association algorithm | en_US |
dc.subject | D ASSIGNMENT ALGORITHM | en_US |
dc.title | Target tracking with a two-scan data association algorithm extended for the hybrid target state | en_US |
dc.type | Article | en_US |
dc.relation.volume | 9 | - |
dc.identifier.doi | 10.1049/iet-rsn.2015.0110 | - |
dc.relation.page | 1330-1337 | - |
dc.relation.journal | IET RADAR SONAR AND NAVIGATION | - |
dc.contributor.googleauthor | Khan, Uzair | - |
dc.contributor.googleauthor | Song, Taek Lyul | - |
dc.relation.code | 2015002999 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DIVISION OF ELECTRICAL ENGINEERING | - |
dc.identifier.pid | tsong | - |
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