Cyclostationarity-based spectrum sensing for analog TV and wireless microphone signals

V., Jeoti and A.M., Mossa (2009) Cyclostationarity-based spectrum sensing for analog TV and wireless microphone signals. In: 2009 1st International Conference on Computational Intelligence, Communication Systems and Networks, CICSYN 2009, 23 July 2009 through 25 July 2009, Indore.

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Spectrum sensing is a vital signal processing task in the cognitive radio systems in order to detect and identify the primary users signals (the licensees). In this paper, we study the performance of cyclostationary features detector as a spectrum sensing technique for IEEE 802.22 Wireless Regional Area Network (WRAN). We propose two algorithms based on cyclostationary features to detect the presence of TV-PAL and wireless microphone signals. These algorithms are evaluated in comparison with energy detector. The results show that the performance of cyclostationarity-based algorithms is superior to energy detector performance especially in the case of noise uncertainty. © 2009 IEEE.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Cognitive radio; Cyclostationarity; Cyclostationary; Energy detectors; IEEE 802.22; Spectrum sensing; Vital signals; Wireless Microphone; Wireless regional area networks; Artificial intelligence; Cognitive systems; Color television; Communication systems; Microphones; Radio systems; Sensors; Signal processing; Timing jitter; Wireless networks; Signal detection
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:365
Deposited By: Assoc Prof Dr Varun Jeoti
Deposited On:09 Mar 2010 01:05
Last Modified:19 Jan 2017 08:25

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