Name
Title | ||
|---|---|---|
Distributed fusion filter for multi-sensor systems with finite-step correlated noises. |
Abstract | ||
|---|---|---|
•A multi-sensor system with finite-step correlated noises is studied.•The process and observation noises of different sensors are finite-step correlated.•Filtering error cross-covariance matrices between any two local filters are derived.•A distributed fusion filter is obtained by a matrix-weighted fusion estimation algorithm.•The proposed algorithms are extended to solve systems with random parameter matrices. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.inffus.2018.05.002 | Information Fusion |
Keywords | Field | DocType |
Distributed fusion filter,Finite-step correlated noises,Cross-covariance matrix,Multi-sensor system,Random parameter matrix,Innovation analysis approach | Minimum-variance unbiased estimator,Pattern recognition,Matrix (mathematics),Filter (signal processing),Process noise,Fusion,Filtering problem,Artificial intelligence,Mathematics | Journal |
Volume | ISSN | Citations |
46 | 1566-2535 | 1 |
PageRank | References | Authors |
0.36 | 20 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tian Tian | 1 | 1 | 0.36 |
| Shuli Sun | 2 | 734 | 52.41 |
| Honglei Lin | 3 | 67 | 9.27 |