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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chen Lei He You Tang Xiao-ming |
| Copyright Year | 2006 |
| Description | Author affiliation: Res. Inst. of Inf. Fusion, Naval Aeronaut. Eng. Inst., Yantai (Chen Lei; He You; Tang Xiao-ming) |
| Abstract | Introduce two important equations used in Kalman filter algorithm with coordinates-converting errors. Analyze the characteristic of distributed Kalman filtering algorithm with coordinates converting uncertainties in multi-coordinate sensor systems. Then, an improved federated filtering algorithm is introduced in the same systems. In the new algorithm, local processor can get global optimal estimation by the transformation of measurement equation and coordinate-converting equation. Accordingly, the Kalman filtering algorithm is transformed. Based on these mathematic methods, we only need coordinates converting once to obtain global estimation, which are always needed twice in the distributed algorithms. So, the filtering accuracy is improved. Simulation results also show that the federated algorithm has a better performance in improving the estimation accuracy |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 3590139 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780395824 |
| DOI | 10.1109/ICR.2006.343407 |
| 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 | Filtering algorithms Equations Communication networks Kalman filters Distributed algorithms Coordinate measuring machines Uncertainty Distributed computing Information filtering Information filters coordinates converting errors data fusion distributed filtering federated filtering |
| Content Type | Text |
| Resource Type | Article |
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