Name
Title | ||
|---|---|---|
Robust weighted information fusion steady-state Kalman smoothers for multisensor system with uncertain noise variances |
Abstract | ||
|---|---|---|
This paper considers the problem of designing the robust weighted fusion steady-state Kalman smoothers for multisensor system with uncertain noise variances. Applying the augmented state method, the problem of designing the robust Kalman smoothers can be converted into that of designing the equivalent robust Kalman filters. According to the minimax robust estimation principle and the unbiased line... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1093/imamci/dnu042 | IMA Journal of Mathematical Control and Information |
Keywords | DocType | Volume |
multisensor information fusion,weighted fusion,minimax robust estimation,robust Kalman smoother,robust accuracy,uncertain noise variance,Lyapunov equation approach | Journal | 33 |
Issue | ISSN | Citations |
2 | 0265-0754 | 0 |
PageRank | References | Authors |
0.34 | 17 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenjuan Qi | 1 | 112 | 6.76 |
| Peng Zhang | 2 | 112 | 5.74 |
| Zi Li Deng | 3 | 2 | 1.03 |