Name
Abstract | ||
|---|---|---|
To solve the problem of unknown noise covariance matrices inherent in the cooperative localization of autonomous underwater vehicles, a new adaptive extended Kalman filter is proposed. The predicted error covariance matrix and measurement noise covariance matrix are adaptively estimated based on an online expectation-maximization approach. Experimental results illustrate that, under the circumstan... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TAES.2017.2756763 | IEEE Transactions on Aerospace and Electronic Systems |
Keywords | Field | DocType |
Covariance matrices,Noise measurement,Measurement uncertainty,Kalman filters,Compass,Measurement errors,Acoustics | Extended Kalman filter,Fast Kalman filter,Control theory,Covariance intersection,Kalman filter,Covariance matrix,Simultaneous localization and mapping,Ensemble Kalman filter,Invariant extended Kalman filter,Mathematics | Journal |
Volume | Issue | ISSN |
54 | 1 | 0018-9251 |
Citations | PageRank | References |
8 | 0.52 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yulong Huang | 1 | 186 | 21.07 |
| Yonggang Zhang | 2 | 247 | 27.34 |
| Bo Xu | 3 | 14 | 6.71 |
| Zhemin Wu | 4 | 55 | 2.97 |
| Jonathon A. Chambers | 5 | 56 | 6.96 |