Name
Abstract | ||
|---|---|---|
The use of a sigma-point approximation is proposed for the Chernoff fusion of Gaussian mixtures. The superiority of the proposed method to its best alternatives in the literature is shown on both a simple density fusion problem and a distributed multiple target tracking example, where the outputs of Gaussian mixture cardinalized probability hypothesis density filters are fused. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TAES.2016.150403 | IEEE Transactions on Aerospace and Electronic Systems |
Keywords | Field | DocType |
Target tracking,Correlation,Sensors,Kalman filters,Density functional theory,Probability density function,Estimation | Density estimation,Control theory,Fusion,Artificial intelligence,Sigma,Gaussian random field,Pattern recognition,Algorithm,Kalman filter,Generalized inverse Gaussian distribution,Gaussian,Probability density function,Mathematics | Journal |
Volume | Issue | ISSN |
52 | 6 | 0018-9251 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Melih Gunay | 1 | 0 | 0.34 |
| Umut Orguner | 2 | 548 | 40.11 |
| Mübeccel Demirekler | 3 | 152 | 19.39 |