Name
Abstract | ||
|---|---|---|
Novel Student's t based approaches for formulating a filter and smoother, which utilize heavy tailed process and measurement noise models, are found through approximations of the associated posterior probability density functions. Simulation results for manoeuvring target tracking illustrate that the proposed methods substantially outperform existing methods in terms of the root mean square error. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TAES.2016.150722 | IEEE Transactions on Aerospace and Electronic Systems |
Keywords | Field | DocType |
Noise measurement,Handheld computers,Smoothing methods,Nonlinear systems,Target tracking,Covariance matrices,Probability density function | Applied mathematics,Mathematical optimization,Nonlinear system,Noise measurement,Control theory,Approximations of π,Mean squared error,Posterior probability,Probability density function,Nonlinear filter,Mathematics | Journal |
Volume | Issue | ISSN |
52 | 5 | 0018-9251 |
Citations | PageRank | References |
9 | 0.52 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yulong Huang | 1 | 186 | 21.07 |
| Yonggang Zhang | 2 | 247 | 27.34 |
| Ning Li | 3 | 163 | 14.85 |
| Jonathon A. Chambers | 4 | 56 | 6.96 |