Smoothing Data Association for Target Tracking in Clutter
- Title
- Smoothing Data Association for Target Tracking in Clutter
- Author
- 송택렬
- Keywords
- data association; false track discrimination; IPDA; target existence; information fusion state
- Issue Date
- 2015-06
- Publisher
- 대한전자공학회
- Citation
- ITC-CSCC(International Technical Conference on Circuits Systems, Computers and Communications) 2015, Page. 973-974
- Abstract
- The proposed smoothing data association based on
integrated probabilistic data association (IPDA) is
applied for single target tracking in clutter. This algorithm
operates two filters; one running forward in time (fIPDA)
and other running backward in time (bIPDA). A new
approach of fusing of each fIPDA prediction with bIPDA
multi-track predictions with data association technique is
derived to obtain smoothing predictions. The target state
estimation is calculated by using smoothing predictions.
Simulation is carried out to show improved false track
discrimination performances over the existing algorithms.
- URI
- http://www.dbpia.co.kr/Journal/ArticleDetail/NODE06386214https://repository.hanyang.ac.kr/handle/20.500.11754/100891
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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