Implementation of Cyclostationary Feature Detector for Cognitive Radios

Vesa  Turunen; Marko Kosunen; Anu  Huttunen; Sami Kallioinen; Petri  Ikonen; Aarno  Pärssinen; Jussi  Ryynänen

4th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Implementation of Cyclostationary Feature Detector for Cognitive Radios

Cite: BibTeX Plain Text

@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

Vesa Turunen¹, Marko Kosunen¹, Anu Huttunen², Sami Kallioinen³, Petri Ikonen³, Aarno Pärssinen³, Jussi Ryynänen¹

1: Helsinki University of Technology, Department of Micro- and Nanosciences, SMARAD-2, P.0 Box 3000, FIN-02015, Finland.
2: Nokia Research Center, Helsinki, Finland.
3: Nokia Research Center, Otaniemi Lablet, Espoo, Finland.

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.

Published: 2009-08-04
Publisher: IEEE

: http://dx.doi.org/10.1109/CROWNCOM.2009.5188993