Research Article
Nonparametric Cyclic Correlation Based Detection for Cognitive Radio Systems
@INPROCEEDINGS{10.1109/CROWNCOM.2008.4562527, author={Jarmo Lunden and Saleem Kassam and Visa Koivunen}, title={Nonparametric Cyclic Correlation Based Detection for Cognitive Radio Systems}, proceedings={3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2008}, month={7}, keywords={}, doi={10.1109/CROWNCOM.2008.4562527} }- Jarmo Lunden
Saleem Kassam
Visa Koivunen
Year: 2008
Nonparametric Cyclic Correlation Based Detection for Cognitive Radio Systems
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2008.4562527
Abstract
In this paper a nonparametric cyclic correlation estimator based on complex generalization of sign function is proposed. Theoretical justification for detecting cyclostationary signals is provided. Asymptotic distribution of the estimator under null hypothesis is established. Constant false alarm rate (CFAR) tests based on estimated sign cyclic correlation are derived for single-user and collaborative spectrum sensing. Simulation experiments comparing the proposed method with cyclostationarity based spectrum sensing methods employing the classical cyclic correlation estimator are performed. Nonparametric statistics provide additional robustness when noise statistics are non-Gaussian or not fully known. Simulations demonstrate the reliable performance and robustness of the proposed nonparametric spectrum sensing method in both Gaussian and non-Gaussian noise environments.
