Name
Abstract | ||
|---|---|---|
In this paper, a fixed-lag and a fixed-interval Gaussian-sum cubature Kalman smoother are proposed for the bearings-only tracking problem. The smoothers are of the forward-backward type and they utilise the Gaussian-sum cubature Kalman filter with improved robustness presented by the authors in [1]. Simulation results show that both the fixed-lag and fixed-interval smoothers exhibit improved accuracy over their filtering counterpart and outperform other existing smoothers of the same type for this problem, with the root-mean-square error overlapping the Cramér-Rao lower bound. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ | ISSNIP |
Keywords | Field | DocType |
root mean square error overlapping,gaussian-sum cubature kalman smoother,kalman filters,smoothing methods,target tracking,fixed interval smoother,cramer-rao lower bound,least mean squares methods,fixed lag smoother,gaussian processes,bearings-only tracking problem,direction-of-arrival estimation,noise measurement,vectors,accuracy,cramer rao lower bound | Mathematical optimization,Extended Kalman filter,Fast Kalman filter,Noise measurement,Computer science,Gauss sum,Upper and lower bounds,Filter (signal processing),Algorithm,Kalman filter,Robustness (computer science),Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4799-2842-2 | 1 | 0.43 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pei Hua Leong | 1 | 1 | 0.43 |
| Sanjeev Arulampalam | 2 | 142 | 19.13 |
| Tharaka Anuradha Lamahewa | 3 | 1 | 0.43 |
| Abhayapala, T.D. | 4 | 174 | 25.09 |