Name
Abstract | ||
|---|---|---|
We study the problem of sequential detection for binary hypothesis testing using multiple sensors. We consider a randomized sensor selection strategy in which one sensor can be active at any given time step. We obtain an optimal sequential test using dynamic programming and show that it corresponds to the Sequential Probability Ratio Test (SPRT) when the sensor selection process is stationary. Further, we prove that Wald-Wolfowitz theorem holds true for sequential test with multiple sensors. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ACC.2012.6314869 | American Control Conference |
Keywords | Field | DocType |
dynamic programming,probability,sensors,testing,SPRT,Wald-Wolfowitz theorem,binary hypothesis testing,dynamic programming,multiple sensors,randomized sensor selection strategy,sequential detection,sequential probability ratio test,sequential test optimality | Dynamic programming,Mathematical optimization,Computer science,Sensor fusion,Binary hypothesis testing,Sensor selection,Multiple sensors,Sequential probability ratio test,Bayesian probability | Conference |
ISSN | ISBN | Citations |
0743-1619 E-ISBN : 978-1-4673-2102-0 | 978-1-4673-2102-0 | 2 |
PageRank | References | Authors |
0.38 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vaibhav Katewa | 1 | 7 | 6.58 |
| Vijay Gupta | 2 | 1146 | 112.35 |