Name
Abstract | ||
|---|---|---|
Spectral sensing for the presence of ATSC DTV signals in VHF/UHF TV bands under a very low SNR environment is one of the core technologies in IEEE 802.22 WRAN. There are multiple signatures embedded in the ATSC DTV signals and these signatures can be utilized to perform spectrum sensing. Signature-based spectrum sensing algorithms have an advantage in that when the signals other than noise are detected, we are almost sure that they are signals we want to detect. Thus, in this paper, several signature based spectrum sensing algorithms are presented. The false alarm rate for detectors employing different algorithms is analytically derived. The operating characteristic curves for different detectors are determined from computer simulations using ATSC A/74 DTV signal captures as a test database. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICC.2007.1073 | ICC |
Keywords | Field | DocType |
ieee 802.22 wran,signature based spectrum sensing algorithms,false alarm rate,cognitive radio,atsc dtv signals,ieee standards,probability,digital television,gaussian noise,signal to noise ratio,testing,detectors,uncertainty,digital tv,computer simulation | Computer science,Signal-to-noise ratio,Algorithm,Digital television,Real-time computing,Constant false alarm rate,IEEE 802.22,Ultra high frequency,Detector,Gaussian noise,Cognitive radio | Conference |
ISSN | ISBN | Citations |
1550-3607 | 1-4244-0353-7 | 41 |
PageRank | References | Authors |
9.17 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hou-shin Chen | 1 | 97 | 15.01 |
| Wen Gao | 2 | 11374 | 741.77 |
| David G. Daut | 3 | 196 | 58.73 |