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

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...

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Main Authors: V., Jeoti, A.M., Mossa
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/365/
http://scholars.utp.edu.my/id/eprint/365/1/paper.pdf
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author V., Jeoti
A.M., Mossa
author_facet V., Jeoti
A.M., Mossa
author_sort V., Jeoti
building UTP Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-13T07:22:56Z
format Conference or Workshop Item
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institution Universiti Teknologi Petronas
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language English
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spelling oai:scholars.utp.edu.my:3652017-01-19T08:25:58Z http://scholars.utp.edu.my/id/eprint/365/ Cyclostationarity-based spectrum sensing for analog TV and wireless microphone signals V., Jeoti A.M., Mossa TK Electrical engineering. Electronics Nuclear engineering 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. 2009 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/365/1/paper.pdf 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. http://www.scopus.com/inward/record.url?eid=2-s2.0-70350524197&partnerID=40&md5=168a13aad817f8ea4f1e9046c2478ca3
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
V., Jeoti
A.M., Mossa
Cyclostationarity-based spectrum sensing for analog TV and wireless microphone signals
title Cyclostationarity-based spectrum sensing for analog TV and wireless microphone signals
title_full Cyclostationarity-based spectrum sensing for analog TV and wireless microphone signals
title_fullStr Cyclostationarity-based spectrum sensing for analog TV and wireless microphone signals
title_full_unstemmed Cyclostationarity-based spectrum sensing for analog TV and wireless microphone signals
title_short Cyclostationarity-based spectrum sensing for analog TV and wireless microphone signals
title_sort cyclostationarity-based spectrum sensing for analog tv and wireless microphone signals
topic TK Electrical engineering. Electronics Nuclear engineering
url http://scholars.utp.edu.my/id/eprint/365/
http://scholars.utp.edu.my/id/eprint/365/
http://scholars.utp.edu.my/id/eprint/365/1/paper.pdf