| Reference : Improving Robustness of Cyclostationary Detectors to Cyclic Frequency Mismatch Using ... |
| Scientific congresses, symposiums and conference proceedings : Paper published in a book | |||
| Engineering, computing & technology : Electrical & electronics engineering Engineering, computing & technology : Electrical & electronics engineering | |||
| http://hdl.handle.net/10993/22207 | |||
| Improving Robustness of Cyclostationary Detectors to Cyclic Frequency Mismatch Using Slepian Basis | |
| English | |
Sharma, Shree Krishna  [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >] | |
| Bogale, Tadilo Endeshaw [INRS, Universite du Quebec, Montreal, QC, Canada] | |
| Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >] | |
| Le, Long Bao [INRS, Universite du Quebec, Montreal, QC, Canada] | |
| Wang, Xianbin [University of Western Ontario, London, ON, Canada] | |
| Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >] | |
| Sep-2015 | |
| Proceedings of IEEE PIMRC 2015 | |
| Yes | |
| No | |
| International | |
| IEEE PIMRC 2015 | |
| 30-08-2015 to 02-09-2015 | |
| IEEE | |
| Hong Kong | |
| [en] Cyclostationary detector ; Cyclic frequency mismatch ; Slepian basis ; Detector robustness ; Cognitive radio ; Spectrum sensing | |
| [en] Spectrum Sensing (SS) is one of the fundamental mechanisms required by a Cognitive Radio (CR). Among several SS techniques, cyclostationary feature detection is considered as an important technique due to its robustness against noise variance uncertainty and its capability to distinguish among different systems on the basis of their cyclostationary features. However, one of the main limitations of this detector in practical scenarios is its performance degradation in the presence of cyclic frequency mismatch, which mainly arises due to the lack of knowledge about the transmitter clock/oscillator errors at the detector. In this context, this paper proposes a novel solution to address the cyclic frequency mismatch problem utilizing the Slepian basis expansion instead of the widely used Fourier basis expansion. It is shown that the proposed approach captures the deviation in the cyclic frequency caused by the aforementioned
imperfections and hence provides a significant improvement in the sensing performance in the presence of cyclic frequency mismatch. | |
| Researchers ; Professionals ; Students ; Others | |
| http://hdl.handle.net/10993/22208 |
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