Name
Abstract | ||
|---|---|---|
A recent trend in distributed multisensor fusion is to use random finite-set filters at the sensor nodes and fuse the filtered distributions algorithmically using their exponential mixture densities (EMDs). Fusion algorithms that extend covariance intersection and consensus-based approaches are such examples. In this paper, we analyze the variational principle underlying EMDs and show that the EMD... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TAES.2019.2893083 | IEEE Transactions on Aerospace and Electronic Systems |
Keywords | DocType | Volume |
Uncertainty,Signal processing algorithms,Probability density function,Sensors,Message passing,Licenses | Journal | 55 |
Issue | ISSN | Citations |
6 | 0018-9251 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Uney | 1 | 67 | 6.29 |
| Jeremie Houssineau | 2 | 34 | 9.57 |
| Emmanuel Delande | 3 | 16 | 2.56 |
| Simon Justin Julier | 4 | 38 | 10.49 |
| Daniel E. Clark | 5 | 360 | 36.76 |