@inproceedings{190e1aea73f5486da43fc19754c0acdd,
title = "Comparison of sampling-based algorithms for multisensor distributed target tracking",
abstract = "This paper considers the problem of tracking a maneuvering target in multisensor environment. A novel scheme is proposed for distributed tracking which utilizes a nonlinear target model and estimates from local (sensorbased) estimators. The resulting estimation problem is nonlineal: In order to evaluate the perfarmance capabilities of the architecture considered, advanced sampling-based nonlinear filters are implemented-particle filter (PF), unscented Kalman filter (UKF), and unscented particle filter (UPF). Results from extensive Monte Carlo simulations using different configurations of these algorithms are obtained to compare their effectiveness for solving a distributed target tracking problem.",
keywords = "Multisensor data fusion, Nonlinear filtering, Particle filter, Target tracking, Unscented kalman filter, Unscented particle filter",
author = "Nguyen, \{Trang M.\} and Jilkov, \{Vesselin P.\} and Li, \{X. Rong\}",
year = "2003",
doi = "10.1109/ICIF.2003.177435",
language = "英语",
isbn = "0972184449",
series = "Proceedings of the 6th International Conference on Information Fusion, FUSION 2003",
publisher = "IEEE Computer Society",
pages = "114--121",
booktitle = "Proceedings of the 6th International Conference on Information Fusion, FUSION 2003",
note = "6th International Conference on Information Fusion, FUSION 2003 ; Conference date: 08-07-2003 Through 11-07-2003",
}