Research Article
Statistical Test Based on Finding the Optimum Lag in Cyclic Autocorrelation for Detecting Free Bands in Cognitive Radios
@INPROCEEDINGS{10.1109/CROWNCOM.2008.4562528, author={Hao Feng and Yanbo Wang and Shi-ju Li}, title={Statistical Test Based on Finding the Optimum Lag in Cyclic Autocorrelation for Detecting Free Bands in Cognitive Radios}, proceedings={3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2008}, month={7}, keywords={cognitive radio; cyclic autocorrelation; optimum lag; statistical test}, doi={10.1109/CROWNCOM.2008.4562528} }- Hao Feng
Yanbo Wang
Shi-ju Li
Year: 2008
Statistical Test Based on Finding the Optimum Lag in Cyclic Autocorrelation for Detecting Free Bands in Cognitive Radios
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2008.4562528
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.
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