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- Publisher Website: 10.1109/CDC.2012.6426991
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Conference Paper: Fusion estimation for two sensors with nonuniform estimation rates
| Title | Fusion estimation for two sensors with nonuniform estimation rates |
|---|---|
| Authors | |
| Issue Date | 2012 |
| Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000188 |
| Citation | The 51st IEEE Annual Conference on Decision and Control (CDC 2012), Maui, HI., 10-13 December 2012. In IEEE Conference on Decision and Control Proceedings, 2012, p. 4083-4088 How to Cite? |
| Abstract | The fusion estimation is investigated in this paper for two-sensor discrete-time stochastic systems. A finite-horizon optimal linear estimator is designed for each sensor to generate local estimates with a nonuniform estimation rate. Then, a fusion rule with matrix weights in the linear minimum variance sense is designed for each sensor to fuse local estimates from itself and the other sensors. The proposed algorithm reduces to the one that can be used to design asynchronous fusion estimators with uncorrelated measurement noises. Finally, the effectiveness of the proposed results is illustrated by a simulation example of a maneuvering target tracking system. © 2012 IEEE. |
| Persistent Identifier | http://hdl.handle.net/10722/221243 |
| ISBN | |
| ISSN | 2020 SCImago Journal Rankings: 0.395 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhang, WA | - |
| dc.contributor.author | Liu, S | - |
| dc.contributor.author | Chen, MZ | - |
| dc.contributor.author | Yu, L | - |
| dc.date.accessioned | 2015-11-10T06:33:01Z | - |
| dc.date.available | 2015-11-10T06:33:01Z | - |
| dc.date.issued | 2012 | - |
| dc.identifier.citation | The 51st IEEE Annual Conference on Decision and Control (CDC 2012), Maui, HI., 10-13 December 2012. In IEEE Conference on Decision and Control Proceedings, 2012, p. 4083-4088 | - |
| dc.identifier.isbn | 978-1-4673-2066-5 | - |
| dc.identifier.issn | 0191-2216 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/221243 | - |
| dc.description.abstract | The fusion estimation is investigated in this paper for two-sensor discrete-time stochastic systems. A finite-horizon optimal linear estimator is designed for each sensor to generate local estimates with a nonuniform estimation rate. Then, a fusion rule with matrix weights in the linear minimum variance sense is designed for each sensor to fuse local estimates from itself and the other sensors. The proposed algorithm reduces to the one that can be used to design asynchronous fusion estimators with uncorrelated measurement noises. Finally, the effectiveness of the proposed results is illustrated by a simulation example of a maneuvering target tracking system. © 2012 IEEE. | - |
| dc.language | eng | - |
| dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000188 | - |
| dc.relation.ispartof | IEEE Conference on Decision and Control Proceedings | - |
| dc.title | Fusion estimation for two sensors with nonuniform estimation rates | - |
| dc.type | Conference_Paper | - |
| dc.identifier.email | Chen, MZ: mzqchen@hku.hk | - |
| dc.identifier.authority | Chen, MZ=rp01317 | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1109/CDC.2012.6426991 | - |
| dc.identifier.scopus | eid_2-s2.0-84874229200 | - |
| dc.identifier.spage | 4083 | - |
| dc.identifier.epage | 4088 | - |
| dc.publisher.place | United States | - |
| dc.customcontrol.immutable | sml 151110 | - |
| dc.identifier.issnl | 0191-2216 | - |