Performance analysis of spectrum sensing techniques for cognitive radio

Ben Allen; Eleftherios Chatziantoniou

Performance analysis of spectrum sensing techniques for cognitive radio

Ben Allen
, Eleftherios Chatziantoniou

University of Bedfordshire

Research output: Other contribution › peer-review

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Abstract

Spectrum sensing is a key element for cognitive radio and is process of obtaining awareness about the radio spectrum in order to detect the presence of other users. In this paper we study the performance of different spectrum sensing techniques in terms of detection performance and required SNR, based on theoretical expressions. Keywords- cognitive radio; spectrum sensing; energy detection; matced filter detection; cyclostationary feature detection

Original language	English
Publisher	University of Bedfordshire
Publication status	Published - 1 Jan 2006

Keywords

Cognitive Radio (CR)

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EChatziantoniou-congnitive-radioAccepted author manuscript, 859 KBLicence: CC BY-NC-ND

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title = "Performance analysis of spectrum sensing techniques for cognitive radio",

abstract = "Spectrum sensing is a key element for cognitive radio and is process of obtaining awareness about the radio spectrum in order to detect the presence of other users. In this paper we study the performance of different spectrum sensing techniques in terms of detection performance and required SNR, based on theoretical expressions. Keywords- cognitive radio; spectrum sensing; energy detection; matced filter detection; cyclostationary feature detection",

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language = "English",

publisher = "University of Bedfordshire",

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AU - Chatziantoniou, Eleftherios

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N2 - Spectrum sensing is a key element for cognitive radio and is process of obtaining awareness about the radio spectrum in order to detect the presence of other users. In this paper we study the performance of different spectrum sensing techniques in terms of detection performance and required SNR, based on theoretical expressions. Keywords- cognitive radio; spectrum sensing; energy detection; matced filter detection; cyclostationary feature detection

AB - Spectrum sensing is a key element for cognitive radio and is process of obtaining awareness about the radio spectrum in order to detect the presence of other users. In this paper we study the performance of different spectrum sensing techniques in terms of detection performance and required SNR, based on theoretical expressions. Keywords- cognitive radio; spectrum sensing; energy detection; matced filter detection; cyclostationary feature detection

KW - Cognitive Radio (CR)

M3 - Other contribution

PB - University of Bedfordshire

ER -

Performance analysis of spectrum sensing techniques for cognitive radio

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