Multi Scan Target Tracking with Finite Resolution Sensor
- Title
- Multi Scan Target Tracking with Finite Resolution Sensor
- Author
- Musicki, Darko
- Keywords
- Data association; Finite resolution; ITS; Linear multitarget; Sensor fusion; Tracking
- Issue Date
- 2008-06
- Publisher
- IEEE
- Citation
- 2008 11th International Conference on Information Fusion, Article no. 4632401
- Abstract
- Target tracking algorithms operate in an environment of uncertain measurement origin. Targets are randomly detected, and clutter measurements from unwanted random scatterers are present. A vast majority of target tracking algorithms have been developed with the assumption of infinite sensor resolution, where a measurement can have only one source. This assumption is not valid for real sensors, such as radars, where measurements from multiple sources may merge. This paper presents a multi-scan target tracking algorithm which removes this restriction. For each measurement the probability that this is a measurement formed by merging a clutter measurement with the target detection is calculated. The merging event creates new data association possibilities, and alters the track quality measure. Both a single target and a suboptimal multi target tracking algorithms are presented. A simulation study shows the benefits of this approach.
- URI
- https://ieeexplore.ieee.org/document/4632401https://repository.hanyang.ac.kr/handle/20.500.11754/104626
- ISBN
- 978-300024883-2
- DOI
- 10.1109/ICIF.2008.4632401
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRONIC SYSTEMS ENGINEERING(전자시스템공학과) > Articles
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