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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/22132Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Song, W | - |
| dc.contributor.author | Wang, Z | - |
| dc.contributor.author | Wang, J | - |
| dc.contributor.author | Alsaadi, FE | - |
| dc.contributor.author | Shan, J | - |
| dc.date.accessioned | 2021-01-21T18:33:31Z | - |
| dc.date.available | 2020-01-01 | - |
| dc.date.available | 2021-01-21T18:33:31Z | - |
| dc.date.issued | 2020-12-09 | - |
| dc.identifier.citation | Song, W., Wang, Z., Wang, J., Alsaadi , F.E. and Shan, J. (2021) 'Distributed Auxiliary Particle Filtering with Diffusion Strategy for Target Tracking: A Dynamic Event-Triggered Approach', IEEE Transactions on Signal Processing, 69, pp. 328 - 340. doi: 10.1109/TSP.2020.3042947. | en_US |
| dc.identifier.issn | 1053-587X | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/22132 | - |
| dc.description.sponsorship | Deanship of Scientific Research; 10.13039/501100004054-King Abdulaziz University; 10.13039/501100001809-National Natural Science Foundation of China; 10.13039/501100004543-China Scholarship Council; Alexander von Humboldt Foundation of Germany; | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE | en_US |
| dc.subject | distributed particle filtering | en_US |
| dc.subject | auxiliary particle filtering | en_US |
| dc.subject | dynamic event-triggered mechanism | en_US |
| dc.subject | diffusion strategy | en_US |
| dc.subject | nonlinear/non-Gaussian systems | en_US |
| dc.title | Distributed Auxiliary Particle Filtering with Diffusion Strategy for Target Tracking: A Dynamic Event-Triggered Approach | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1109/TSP.2020.3042947 | - |
| dc.relation.isPartOf | IEEE Transactions on Signal Processing | - |
| pubs.publication-status | Published | - |
| dc.identifier.eissn | 1941-0476 | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 987.25 kB | Adobe PDF | View/Open |
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