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المؤلفHashemi, Hadi
المؤلفFard, Sina Mohammadi
المؤلفTaherpour, Abbas
المؤلفSedighi, Saeid
المؤلفKhattab, Tamer
تاريخ الإتاحة2022-10-31T19:21:54Z
تاريخ النشر2015
اسم المنشورLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1007/978-3-319-24540-9_6
معرّف المصادر الموحدhttp://hdl.handle.net/10576/35648
الملخصIn 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.
راعي المشروعThis 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.
اللغةen
الناشرSpringer Verlag
الموضوعAntennas
Cognitive radio
Radio systems
Statistical tests
Wireless networks
العنوانDetection of temporally correlated primary user signal with multiple antennas
النوعConference Paper
الصفحات66-77
رقم المجلد156
dc.accessType Abstract Only


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