Target tracking with a two-scan data association algorithm extended for the hybrid target state
- Title
- Target tracking with a two-scan data association algorithm extended for the hybrid target state
- Author
- 송택렬
- Keywords
- target tracking; sensor fusion; probability; target tracking; two scan data association algorithm; hybrid target state; target trajectory state; target existence state; sliding window based approach; multiscan data association; joint association; integrated track splitting algorithm; integrated probabilistic data association algorithm; D ASSIGNMENT ALGORITHM
- Issue Date
- 2015-12
- Publisher
- INST ENGINEERING TECHNOLOGY-IET
- Citation
- IET RADAR SONAR AND NAVIGATION, v. 9, No. 9, Page. 1330-1337
- 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.
- URI
- http://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2015.0110http://hdl.handle.net/20.500.11754/46391
- ISSN
- 1751-8784; 1751-8792
- DOI
- 10.1049/iet-rsn.2015.0110
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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