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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Geng Wen-dong Liu Hong-ya Dong Zheng-hong Wang Yuan-qin |
| Copyright Year | 2006 |
| Description | Author affiliation: Acad. of Equip. Command & Technol., Beijing (Geng Wen-dong; Liu Hong-ya; Dong Zheng-hong; Wang Yuan-qin) |
| Abstract | When many targets are maneuvering in formation, and the space span among them is smaller than the resolution of the radar, so there are many echoes appearing in the tracking gate. Then the radar can't distinguish which is the target to be tracking. A new concept of group-target is proposed in order to solve this maneuvering targets tracking problem in the view of maneuvering target tracking. Firstly, a ratio between the normalizing norm of the surplus error vector of the Kalman filter and the tracking threshold is found, applying the current statistic model of the maneuvering target Secondly, the weight of each echo in the tracking gate is computed. Thirdly, a new method is put forward to find the equivalent echo of the group-target and its statistic centroid. Finally, a new equation of the maneuvering group-target tracking is made, using the Kalman filter. Though comparing and analyzing, the result shows the advantages of this method in alleviating the computational complexity and in favor of engineering |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 3985536 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780395824 |
| DOI | 10.1109/ICR.2006.343580 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Radar tracking Target tracking Radar cross section Statistics Spaceborne radar Equations Covariance matrix Space technology Filters Programmable logic arrays Norm of surplus error Group-target Kalman filtering Posterior probability algorithm |
| Content Type | Text |
| Resource Type | Article |
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