Global sensor selection for maneuvering target tracking in clutter
This paper studies the problem of sensor selection for maneuvering target tracking in the cluttered environment. By modeling the target dynamics as jump Markov linear systems, a decentralized tracking algorithm is developed by applying the extended Kalman filter and the probabilistic data associatio...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Atlantis Press
2016-08-01
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| Series: | Journal of Robotics, Networking and Artificial Life (JRNAL) |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25861622.pdf |