Cyclostatilonarilty-Based Test for Detection of Vacant Frequency Bands

Mohamed  Ghozzi; Francois  Marx; Mischa  Dohler; Jacques  Palicot

1st International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Cyclostatilonarilty-Based Test for Detection of Vacant Frequency Bands

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/CROWNCOM.2006.363454,
    author={Mohamed  Ghozzi and Francois  Marx and Mischa  Dohler and Jacques  Palicot},
    title={Cyclostatilonarilty-Based Test for Detection of Vacant Frequency Bands},
    proceedings={1st International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
    publisher={IEEE},
    proceedings_a={CROWNCOM},
    year={2007},
    month={5},
    keywords={Cognitive radio Detectors Frequency estimation Matched filters RF signals Radiometry Research and development Signal detection Telecommunications Testing},
    doi={10.1109/CROWNCOM.2006.363454}
}

Mohamed Ghozzi
Francois Marx
Mischa Dohler
Jacques Palicot
Year: 2007
Cyclostatilonarilty-Based Test for Detection of Vacant Frequency Bands
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2006.363454

Mohamed Ghozzi^1,2^,*, Francois Marx¹^,*, Mischa Dohler¹^,*, Jacques Palicot²^,*

1: France Telecom R&D, France.
2: Supelec-campus de Rennes, France

*Contact email: mohamed.ghozzi@francetelecom.com, francois.marx@francetelecom.com, mischa.dohler@francetelecom.com, jacques.palicot@supelec.fr

Abstract

The problem addressed in this paper is the test for presence of any telecommunication signal within a given frequency band, which is of great importance for cognitive radios. Since a telecommunication signal is well modeled as cyclostationary, we transform this problem to the one of testing for presence of the cylostationary property over a range of cyclic frequencies and we propose a constant false alarm rate (CFAR) multicycle detector based on a chi-squared (x2) statistical test of the time varying covariance estimate

Keywords: Cognitive radio Detectors Frequency estimation Matched filters RF signals Radiometry Research and development Signal detection Telecommunications Testing

Published: 2007-05-21
Publisher: IEEE

: http://dx.doi.org/10.1109/CROWNCOM.2006.363454