Abstract
This paper introduces a reduced complexity approach to cyclostationarity detection of primary user signals in cognitive radio systems. The decision statistic is formulated by exploiting the variations of portions the sensed signal's spectral correlation density function estimate, due to either the presence or absence of the primary user signal. The presented detector has low computational complexity and has decision error performance which is superior to energy detection; these qualities make it suitable for energy-efficient cognitive radio terminals operating with limited power sources. The performance of this detection method is obtained by computer simulation and the computational complexity is evaluated.
Original language | English |
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Title of host publication | 2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings |
Place of Publication | Piscataway, N.J. |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 1-5 |
Number of pages | 5 |
ISBN (Electronic) | 9781424483310 |
ISBN (Print) | 9781424483327 |
DOIs | |
Publication status | Published - 2011 |
Event | 2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Budapest, Hungary Duration: 15 May 2011 → 18 May 2011 |
Conference
Conference | 2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring |
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Country/Territory | Hungary |
City | Budapest |
Period | 15/05/11 → 18/05/11 |
Keywords
- cognitive radio
- detect and avoid
- green communications
- spectrum sensing
- detection
- energy detection
- cyclostationary
- cyclostationarity detection
- spectral correlation density
- frequency accumulation method