Name
Abstract | ||
|---|---|---|
In the multisensor distributed fusion systems, observations produced by sensors typically arrive at local processors out of sequence. The resulting problem at the central processor/fusion center-how to update current estimate using multiple local out-of-sequent-measurement (OOSM) updates-is a nonstandard distributed estimation problem. In this paper, based on three update algorithms with "Out-of-Sequence" measurement (OOSM), we propose three optimal distributed fusion updates with local OOSM updates, which are, under some regularity conditions, equivalent to the centralized updates with all same lag time OOSMs respectively. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/RAMECH.2008.4681381 | RAM |
Keywords | Field | DocType |
multiple local out-of-sequent-measurement,oosm updates,nonstandard distributed estimation problem,lag time out-of-sequence measurements,multisensor distributed fusion systems,distributed sensors,optimal distributed fusion update,sensor fusion,approximation algorithms,sensors,noise,mathematical model | Approximation algorithm,Control theory,Computer science,Fusion,Control engineering,Sensor fusion,Lag | Conference |
ISBN | Citations | PageRank |
978-1-4244-1676-9 | 1 | 0.36 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| xiaojing shen | 1 | 194 | 21.66 |
| yunmin zhu | 2 | 557 | 67.35 |
| Donghua Wang | 3 | 2 | 0.72 |
| Zhisheng You | 4 | 417 | 52.22 |
| enbin song | 5 | 406 | 30.20 |