Research Article
Detection of Temporally Correlated Primary User Signal with Multiple Antennas
@INPROCEEDINGS{10.1007/978-3-319-24540-9_6, author={Hadi Hashemi and Sina Fard and Abbas Taherpour and Saeid Sedighi and Tamer Khattab}, title={Detection of Temporally Correlated Primary User Signal with Multiple Antennas}, proceedings={Cognitive Radio Oriented Wireless Networks. 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21--23, 2015, Revised Selected Papers}, proceedings_a={CROWNCOM}, year={2015}, month={10}, keywords={}, doi={10.1007/978-3-319-24540-9_6} }- Hadi Hashemi
Sina Fard
Abbas Taherpour
Saeid Sedighi
Tamer Khattab
Year: 2015
Detection of Temporally Correlated Primary User Signal with Multiple Antennas
CROWNCOM
Springer
DOI: 10.1007/978-3-319-24540-9_6
Abstract
In this paper, we address the problem of multiple antenna spectrum sensing in cognitive radios (CRs) when the samples of the primary user (PU) signal as well as samples of noise are assumed to be temporally correlated. We model and formulate this multiple antenna spectrum sensing problem as a hypothesis testing problem. First, we derive the optimum Neyman-Pearson (NP) detector for the scenario in which the channel gains, the PU signal and noise correlation matrices are assumed to be known. Then, we derive the sub-optimum generalized likelihood ratio test (GLRT)-based detector for the case when the channel gains and aforementioned matrices are assumed to be unknown. Approximate analytical expressions for the false-alarm probabilities of the proposed detectors are given. Simulation results show that the proposed detectors outperform some recently-purposed algorithms for multiple antenna spectrum sensing.
