Name
Title | ||
|---|---|---|
A low-cost and robust multimodal wireless network with adaptive estimator and GLRT detector |
Abstract | ||
|---|---|---|
The problem of using a multiple-node indoor wireless network as a distributed sensor network for detecting physical intrusion is addressed. The challenges for achieving high system performance are analyzed. A high-precision adaptive estimator and a high-precision signal level change estimator are derived. Based on the low computational complexity of the estimators, a low-cost and robust system architecture is proposed. Experiments show that the proposed system performs significantly better than the published prototype multimodal wireless network system. |
Year | Venue | Field |
|---|---|---|
2006 | European Signal Processing Conference | Wireless network,Intrusion,Computer science,Adaptive estimator,Real-time computing,Artificial intelligence,Systems architecture,Wireless sensor network,Detector,Machine learning,Estimator,Computational complexity theory |
DocType | ISSN | Citations |
Conference | 2219-5491 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianjun Chen | 1 | 1 | 0.77 |
| John Aasted Sorensen | 2 | 3 | 1.43 |
| Zoltan Safar | 3 | 143 | 10.05 |
| Kåre Kristoffersen | 4 | 35 | 2.80 |