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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chun-Yu Xiao Jing Ma Shu-Li Sun |
| Copyright Year | 2011 |
| Description | Author affiliation: Her interests are information fusion and state estimation (Chun-Yu Xiao; Jing Ma) || His main research fields are state estimation, information fusion, and sensors network (Shu-Li Sun) |
| Abstract | For the discrete-time linear stochastic systems with multiple sensors of different sampling rates, a distributed information fusion filter weighted by matrices is given in the linear minimum variance sense. The correlation of estimation errors between any two local filters is considered. Compared with the fusion filter where the correlation of local estimation errors isn't taken into account, the proposed filter improves the accuracy. An example shows the feasibility and effectiveness of the proposed algorithm. |
| Starting Page | 1081 |
| Ending Page | 1084 |
| File Size | 194680 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424487370 |
| e-ISBN | 9781424487387 |
| DOI | 10.1109/CCDC.2011.5968345 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-23 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cross-variance matrix Asynchronous sampling Kalman filter Information fusion Multirate Information filters Sensor systems Filtering theory Kalman filters |
| Content Type | Text |
| Resource Type | Article |
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