Name
Title | ||
|---|---|---|
Statistical Test Based on Finding the Optimum Lag in Cyclic Autocorrelation for Detecting Free Bands in Cognitive Radios |
Abstract | ||
|---|---|---|
Cognitive radios sense the radio spectrum in order to find free bands for transmission. In this paper, a novel method is proposed for detecting free bands by exploiting a statistical test based on finding the optimum lag in cyclic autocorrelation of primary user signals within the framework of cyclostationarity theory. This approach has a satisfying detecting performance under low SNR conditions and is computational efficient. Meanwhile, due to signals' cyclostationarity, the method also has a good anti-interference property which can be utilized to detect the primary user signals in the presence of interference. Finally, simulations are performed to verify those properties of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/CROWNCOM.2008.4562528 | CrownCom |
Keywords | Field | DocType |
low snr,statistical testing,antiinterference property,free bands detecting,cognitive radio,statistical test,radio spectrum management,cyclic autocorrelation,radio spectrum,cognitive radios,optimum lag,signal detection,correlation methods,cyclostationarity theory,covariance matrix,computational modeling,matched filters,detectors,satisfiability,manganese,interference,testing,correlation,signal to noise ratio,autocorrelation,computer vision,spectrum,frequency | Detection theory,Signal-to-noise ratio,Algorithm,Interference (wave propagation),Matched filter,Statistics,Radio spectrum,Mathematics,Statistical hypothesis testing,Cognitive radio,Autocorrelation | Conference |
Volume | Issue | ISSN |
null | null | null |
ISBN | Citations | PageRank |
978-1-4244-2302-6 | 0 | 0.34 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hao Feng | 1 | 409 | 32.15 |
| Yanbo Wang | 2 | 88 | 14.39 |
| Shiju Li | 3 | 20 | 7.40 |