Research Article
Implementation of Cyclostationary Feature Detector for Cognitive Radios
@INPROCEEDINGS{10.1109/CROWNCOM.2009.5188993, author={Vesa Turunen and Marko Kosunen and Anu Huttunen and Sami Kallioinen and Petri Ikonen and Aarno P\aa{}rssinen and Jussi Ryyn\aa{}nen}, title={Implementation of Cyclostationary Feature Detector for Cognitive Radios}, proceedings={4th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2009}, month={8}, keywords={}, doi={10.1109/CROWNCOM.2009.5188993} }- Vesa Turunen
Marko Kosunen
Anu Huttunen
Sami Kallioinen
Petri Ikonen
Aarno Pärssinen
Jussi Ryynänen
Year: 2009
Implementation of Cyclostationary Feature Detector for Cognitive Radios
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2009.5188993
Abstract
Spectrum sensing is needed in cognitive radios to provide information about the surrounding radio spectrum. This enables cognitive radio system to communicate among existing radio systems without interfering them. This paper describes an FPGA implementation of a cyclostationary feature detector, which has an improved detection performance achieved by decimation of the cyclic spectrum. Decimation also provides a simple way to control detection time and, thus, allows trading the detection time to better probability of detection and vice versa. Measured detection performance is presented and detection of a 802.11g WLAN signal from air is demonstrated.
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