Name
Title | ||
|---|---|---|
CAF Diversity Combining for Spectrum Sensing by Test Statistics Sharing with Time-Averaged Weights |
Abstract | ||
|---|---|---|
This paper presents a cyclic autocorrelation function (CAF) diversity combining technique for spectrum sensing using test statistics shared among multiple receive antennas with time-averaged weights. We recently reported a weighted CAF diversity combining technique, however, the weight factor has a noise component, which negatively affects the performance. This technique reduces the noise component included in weight factors, by averaging a large number of CAFs, and we attempt to improve the performance of spectrum sensing. The presented results are compared with some conventional techniques, and they show that the signal detection performance can be significantly improved without the increasing computational complexities in comparison with the conventional techniques. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/VTCFall.2016.7880926 | 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall) |
Keywords | Field | DocType |
cyclic autocorrelation function diversity combining technique,CAF diversity combining technique,spectrum sensing,test statistics sharing,time-averaged weights,receive antennas,signal detection | Detection theory,Weight factor,Computer science,Electronic engineering,Diversity combining,Correlation,Orthogonal frequency-division multiplexing,Statistical hypothesis testing,Computational complexity theory,Cyclic autocorrelation function | Conference |
ISSN | ISBN | Citations |
2577-2465 | 978-1-5090-1702-7 | 0 |
PageRank | References | Authors |
0.34 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daiki Cho | 1 | 2 | 1.07 |
| Atsushi Kondo | 2 | 0 | 0.34 |
| Shusuke Narieda | 3 | 19 | 9.15 |
| Kenta Umebayashi | 4 | 158 | 29.57 |