Abstract
In this paper, a detector is presented that can be trained to recognise the dominant features in the cyclic spectrum of a signal, and hence distinguish between scenarios when the signal is present or absent. A detector that can adapt its operation, without knowing in advance what spectral features to expect, is attractive for applications such as cognitive radio, as equipped terminals can learn about their radio environment whilst operating in the field. The performance of this detector is compared to that of an energy detector via simulation.
Original language | English |
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Title of host publication | Proceedings - 2011 International Conference on Advanced Technologies for Communications, ATC 2011 |
Place of Publication | Piscataway, N.J. |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 127-130 |
Number of pages | 4 |
ISBN (Print) | 9781457712043 |
DOIs | |
Publication status | Published - 2011 |
Event | 4th Annual International Conference on Advanced Technologies for Communications, ATC2011 - Da Nang City, Viet Nam Duration: 2 Aug 2011 → 4 Aug 2011 |
Other
Other | 4th Annual International Conference on Advanced Technologies for Communications, ATC2011 |
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Country | Viet Nam |
City | Da Nang City |
Period | 2/08/11 → 4/08/11 |