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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Husheng Li |
| Copyright Year | 2010 |
| Abstract | Cyclostationary feature is incorporated into the framework of quickest spectrum sensing, which is based on the technique of quickest change detection, in cognitive radio systems. Different from detecting the change in a sequence of independent random variables, e.g. energydetection, the property change of random process with correlated observations should be detected in the context of cyclostationary feature based spectrum sensing. Motivated by traditional cumulative sum (CUSUM) test in quickest change detection, a multi-thread competition algorithm for detecting the change in cyclostationary feature is proposed to tackle the difficulty of correlated observations. A thread truncation approach is proposed to reduce the required amount of memory and computation. Numerical results show that the cyclostationary feature based quickest spectrum sensing significantly outperforms the traditional block detection based spectrum sensing scheme. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 166115 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424435739 |
| ISSN | 10903038 |
| DOI | 10.1109/VETECF.2010.5594270 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-06 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sensors Delay Instruction sets Feature extraction Cognitive radio Conferences |
| Content Type | Text |
| Resource Type | Article |
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