Abstract
Abstract—Spectrum sensing is one of the key characteristics of a cognitive radio. Energy detection provides maximum flexibility by not relying on any prior knowledge, but suffers from an SNRwall due to noise uncertainty. Crosscorrelation of the outputs of two receiver paths is a technique to reduce the noise level of the total receiver, and hence improves the SNR. The reduction of the noise is limited by correlated noise originating from shared
components near the antenna. In this paper we explore the
use of a separate antenna for each receiver for crosscorrelation spectrum sensing. One immediate advantage is that due to the removal of the splitter, which was necessary to interface the single antenna to two receivers, the SNR improves, significantly reducing the required measurement time. A lot of the noise correlation can be removed, leading to a lower residual noise floor. The noise at each antenna will still be partially correlated
due to mutual coupling, spatial noise correlation and man-made noise. We show that some signal power can be lost in the sensing process due to partial decorrelation of the signal at the two antennas. Fortunately, this seems to be a problem only in highly mobile environments, which makes the use of two-antenna crosscorrelation spectrum sensing an interesting solution towards more reliable energy detection.
Original language | Undefined |
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Title of host publication | IEEE Vehicular Technology Conference (VTC Fall 2011) |
Place of Publication | Piscataway |
Publisher | IEEE |
Pages | 1-5 |
Number of pages | 5 |
ISBN (Print) | 978-1-4244-8328-0 |
DOIs | |
Publication status | Published - 5 Sept 2011 |
Event | IEEE 74th Vehicular Technology Conference VTC2011-Fall - San Francisco, United States Duration: 5 Sept 2011 → 8 Sept 2011 Conference number: 74 http://www.ieeevtc.org/vtc2011fall/ |
Publication series
Name | |
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Publisher | IEEE Press |
ISSN (Print) | 1090-3038 |
Conference
Conference | IEEE 74th Vehicular Technology Conference VTC2011-Fall |
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Abbreviated title | VTC Fall 2011 |
Country/Territory | United States |
City | San Francisco |
Period | 5/09/11 → 8/09/11 |
Internet address |
Keywords
- IR-78999
- EWI-20422
- METIS-281526