Extended Target GMPHD Filter Based on Mean Shift and Graph Structure
In view of excessive measurements partition number, a large computation load of extended target tracking and leakage estimation when the extended targets cross, an extended target tracking algorithm based on GMPHD with mean shift and graph structure is proposed. Firstly, the kernel density estimatio...
| Format: | Article |
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| Language: | zho |
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EDP Sciences
2018-06-01
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| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/pdf/2018/03/jnwpu2018363p420.pdf |
| _version_ | 1827615087214460928 |
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| collection | DOAJ |
| description | In view of excessive measurements partition number, a large computation load of extended target tracking and leakage estimation when the extended targets cross, an extended target tracking algorithm based on GMPHD with mean shift and graph structure is proposed. Firstly, the kernel density estimation is used to eliminate the clutter measurements. Secondly, mean shift algorithm is adopted to divide the extended target measurements set, and sub-division is considered to carry or not based on the information fed back from the updated graph structure. Then, the extended target GMPHD algorithm is used to filter. Finally, the graph structure is updated by the one-step predicted value of the filtering result, and the updated graph structure information is used to guide the measurement partition at the next moment. Matlab simulation shows that the algorithm proposed decreases largely the number of measurements partition, reduces the computational complexity, and solves the leakage estimation problem when the targets cross. |
| first_indexed | 2024-03-09T09:06:05Z |
| format | Article |
| id | doaj.art-7d2e466982134092a0982faef335be0a |
| institution | Directory Open Access Journal |
| issn | 1000-2758 2609-7125 |
| language | zho |
| last_indexed | 2024-03-09T09:06:05Z |
| publishDate | 2018-06-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Xibei Gongye Daxue Xuebao |
| spelling | doaj.art-7d2e466982134092a0982faef335be0a2023-12-02T10:23:50ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252018-06-0136342042510.1051/jnwpu/20183630420jnwpu2018363p420Extended Target GMPHD Filter Based on Mean Shift and Graph StructureIn view of excessive measurements partition number, a large computation load of extended target tracking and leakage estimation when the extended targets cross, an extended target tracking algorithm based on GMPHD with mean shift and graph structure is proposed. Firstly, the kernel density estimation is used to eliminate the clutter measurements. Secondly, mean shift algorithm is adopted to divide the extended target measurements set, and sub-division is considered to carry or not based on the information fed back from the updated graph structure. Then, the extended target GMPHD algorithm is used to filter. Finally, the graph structure is updated by the one-step predicted value of the filtering result, and the updated graph structure information is used to guide the measurement partition at the next moment. Matlab simulation shows that the algorithm proposed decreases largely the number of measurements partition, reduces the computational complexity, and solves the leakage estimation problem when the targets cross.https://www.jnwpu.org/articles/jnwpu/pdf/2018/03/jnwpu2018363p420.pdfextended target trackingmean shiftgraph structuregmphdmeasurements partitioncomputational efficiencymatlab |
| spellingShingle | Extended Target GMPHD Filter Based on Mean Shift and Graph Structure Xibei Gongye Daxue Xuebao extended target tracking mean shift graph structure gmphd measurements partition computational efficiency matlab |
| title | Extended Target GMPHD Filter Based on Mean Shift and Graph Structure |
| title_full | Extended Target GMPHD Filter Based on Mean Shift and Graph Structure |
| title_fullStr | Extended Target GMPHD Filter Based on Mean Shift and Graph Structure |
| title_full_unstemmed | Extended Target GMPHD Filter Based on Mean Shift and Graph Structure |
| title_short | Extended Target GMPHD Filter Based on Mean Shift and Graph Structure |
| title_sort | extended target gmphd filter based on mean shift and graph structure |
| topic | extended target tracking mean shift graph structure gmphd measurements partition computational efficiency matlab |
| url | https://www.jnwpu.org/articles/jnwpu/pdf/2018/03/jnwpu2018363p420.pdf |