Name
Abstract | ||
|---|---|---|
Multisensor state-space models underpin fusion applications in networks of sensors. Estimation of latent parameters in these models has the potential to provide highly desirable capabilities such as network self-calibration. Conventional solutions to the problem pose difficulties in scaling with the number of sensors due to the joint multisensor filtering involved when evaluating the parameter lik... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSIPN.2018.2825599 | IEEE Transactions on Signal and Information Processing over Networks |
Keywords | DocType | Volume |
Sensors,Hidden Markov models,Computational modeling,Estimation,Markov processes,Time measurement,Information processing | Journal | 4 |
Issue | ISSN | Citations |
4 | 2373-776X | 0 |
PageRank | References | Authors |
0.34 | 21 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Uney | 1 | 67 | 6.29 |
| Bernard Mulgrew | 2 | 724 | 85.23 |
| Daniel E. Clark | 3 | 360 | 36.76 |