Name
Abstract | ||
|---|---|---|
Herein is presented an efficient nonlinear filtering algorithm called the Gaussian-sum cubature Kalman filter (GSCKF) for the bearings-only tracking problem. It is developed based on the recently proposed cubature Kalman filter and is built within a Gaussian-sum framework. The new algorithm consists of a splitting and merging procedure when a high degree of nonlinearity is detected. Simulation results show that the proposed algorithm demonstrates comparable performance to the particle filter (PF) with significantly reduced computational cost. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TAES.2013.6494405 | IEEE Trans. Aerospace and Electronic Systems |
Keywords | Field | DocType |
gaussian processes,kalman filters,direction-of-arrival estimation,nonlinear filters,target tracking,gsckf,gaussian sum cubature kalman filter,bearings only tracking,nonlinear filtering algorithm,nonlinearity detection,splitting and merging procedure | Alpha beta filter,Extended Kalman filter,Fast Kalman filter,Control theory,Particle filter,Kalman filter,Gaussian process,Invariant extended Kalman filter,Ensemble Kalman filter,Mathematics | Journal |
Volume | Issue | ISSN |
49 | 2 | 0018-9251 |
Citations | PageRank | References |
13 | 0.88 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Leong, P.H. | 1 | 13 | 0.88 |
| Arulampalam, S. | 2 | 13 | 0.88 |
| tharaka a lamahewa | 3 | 18 | 1.83 |
| Abhayapala, T.D. | 4 | 174 | 25.09 |