5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Limits of detection for the consecutive mean excision algorithms

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  • @INPROCEEDINGS{10.4108/ICST.CROWNCOM2010.9177,
        author={Johanna Vartiainen and Janne Lehtom\aa{}ki and Harri Saarnisaari and Markku Juntti},
        title={Limits of detection for the consecutive mean excision algorithms},
        proceedings={5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2010},
        month={9},
        keywords={Algorithm design and analysis Bandwidth Cognitive radio Niobium Prediction algorithms Signal processing algorithms Signal to noise ratio},
        doi={10.4108/ICST.CROWNCOM2010.9177}
    }
    
  • Johanna Vartiainen
    Janne Lehtomäki
    Harri Saarnisaari
    Markku Juntti
    Year: 2010
    Limits of detection for the consecutive mean excision algorithms
    CROWNCOM
    IEEE
    DOI: 10.4108/ICST.CROWNCOM2010.9177
Johanna Vartiainen1, Janne Lehtomäki1, Harri Saarnisaari1, Markku Juntti1
  • 1: University of Oulu, Centre for Wireless Communications (CWC), P.O. Box 4500, FIN-90014 University of Oulu, FINLAND

Abstract

Iterative backward and forward consecutive mean excision (CME/FCME) algorithms are efficient in suppressing and detecting narrowband signals. Being computationally relatively simple, they can be applied for spectrum sensing in cognitive radios. In this paper, theoretical limits of detection for the CME algorithms are derived. These limits predict whether a signal is detectable or not. More specifically, resulting signal-to-noise ratio (SNR) values at which the signals can be detected are presented. In addition, rules for choosing the optimal CME algorithm are conveyed. The validity of the presented limits of detection is confirmed with computer simulations.