Detection of temporally correlated primary user signal with multiple antennas
Author | Hashemi, Hadi |
Author | Fard, Sina Mohammadi |
Author | Taherpour, Abbas |
Author | Sedighi, Saeid |
Author | Khattab, Tamer |
Available date | 2022-10-31T19:21:54Z |
Publication Date | 2015 |
Publication Name | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST |
Resource | Scopus |
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. Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015. |
Sponsor | This publication was made possible by the National Priorities Research Program (NPRP) award NPRP 6-1326-2-532 from the Qatar National Research Fund (QNRF) (a member of the Qatar Foundation). The statements made herein are solely the responsibility of the authors. |
Language | en |
Publisher | Springer Verlag |
Subject | Antennas Cognitive radio Radio systems Statistical tests Wireless networks |
Type | Conference Paper |
Pagination | 66-77 |
Volume Number | 156 |
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