Name
Abstract | ||
|---|---|---|
Spectrum sensing is essential in cognitive radio. By defining leading eigenvector as feature, we introduce a blind feature learning algorithm (FLA) and a feature template matching (FTM) algorithm using learned feature for spectrum sensing. We implement both algorithms on Lyrtech software defined radio platform. Hardware experiment is performed to verify that feature can be learned blindly. We compare FTM with a blind detector in hardware and the results show that the detection performance for FTM is about 3 dB better. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/LCOMM.2011.030911.110127 | Clinical Orthopaedics and Related Research |
Keywords | DocType | Volume |
Sensors,Feature extraction,Hardware,Signal to noise ratio,Receivers,Covariance matrix | Journal | abs/1102.5030 |
Issue | ISSN | Citations |
5 | 1089-7798 | 4 |
PageRank | References | Authors |
0.46 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peng Zhang | 1 | 61 | 6.79 |
| Robert Caiming Qiu | 2 | 857 | 88.17 |
| Nan Guo | 3 | 191 | 15.82 |