Name
Abstract | ||
|---|---|---|
•The iterated filtering algorithms for nonlinear systems with non-Gaussian noise are derived under the maximum correntropy criterion.•A new cost function for the filtering update step of non-Gaussian systems is designed.•The cost function is solved by the Gauss-Newton method and the Levenberg-Marguardt method, respectively.•A typical target tracking example shows the superiority of proposed algorithms. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.sigpro.2019.05.015 | Signal Processing |
Keywords | Field | DocType |
Maximum correntropy,Unscented Kalman filter,Gauss-Newton,Levenberg-Marguardt,Non-Gaussian noise | Control theory,Filter (signal processing),Algorithm,Kalman filter,Gaussian,Iterated function,Numerical stability,Mathematics,Covariance | Journal |
Volume | ISSN | Citations |
163 | 0165-1684 | 2 |
PageRank | References | Authors |
0.37 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guoqing Wang | 1 | 75 | 17.84 |
| Yonggang Zhang | 2 | 87 | 16.11 |
| Xiaodong Wang | 3 | 3958 | 310.41 |