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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liang-qun Li Wei-Xin Xie |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Information Engineering, Shenzhen University, Guangdong 518060, China (Liang-qun Li; Wei-Xin Xie) |
| Abstract | In this paper, a new algorithm for multiple maneuvering target tracking is proposed. The proposed algorithm which is based on separating the multiple maneuvering target tracking into three parts-the data association, the estimation of the single target dynamic model and the estimation of the single target tracking subproblems conditional on the data association and the target dynamic model. Where the data assciation subproblem can be solved by the fuzzy data assciation, the single target dynamic model by the Rao-Blackwellized particle filter (MMRBPF) and the single target tracking by Kaiman filter or extend Kaiman filter. Finally, the experiment results show that the proposed algorithm can effectively track multiple manuvering targets. |
| Starting Page | 2105 |
| Ending Page | 2108 |
| File Size | 106588 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424458974 |
| e-ISBN | 9781424459001 |
| DOI | 10.1109/ICOSP.2010.5655942 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Target tracking Heuristic algorithms Particle filters Particle measurements Kalman filters Atmospheric measurements Data models Rao-Blackwellized particle filter maneuvering target tracking data association |
| Content Type | Text |
| Resource Type | Article |
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