Name
Abstract | ||
|---|---|---|
In this work we propose an adaptive fusion procedure to perform data detection in distributed detection systems with a decode-then-fuse type of receiver. Differently from previously proposed fusion rules, where nodes statistics (e.g. miss detection, false alarm and a priori probabilities) and channel transition probabilities are generally needed, the proposed non-assisted adaptive fusion algorithm adapts its coefficients and decision threshold based only on the received signals, so that time-varying or inhomogeneous distributed detection systems are well suited. Computer simulations show that the proposed adaptive fusion strategy delivers a performance very close to the optimal fusion rule. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ISWCS.2014.6933380 | ISWCS |
Keywords | Field | DocType |
wireless sensor networks,vectors,probability,signal to noise ratio | False alarm,Pattern recognition,Computer science,Signal-to-noise ratio,A priori and a posteriori,Fusion rules,Communication channel,Sensor fusion,Artificial intelligence,Adaptive algorithm,Wireless sensor network | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rodrigo Pereira David | 1 | 0 | 1.01 |
| Raimundo Sampaio Neto | 2 | 155 | 25.30 |
| César A. Medina | 3 | 23 | 5.23 |