6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

SPARSE SIGNAL SENSING WITH NON-UNIFORM UNDERSAMPLING AND FREQUENCY EXCISION

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  • @INPROCEEDINGS{10.4108/icst.crowncom.2011.246033,
        author={Andre  Bourdoux and Sofie  Pollin and Antoine  Dejonghe and Liesbet  Van der Perre},
        title={SPARSE SIGNAL SENSING WITH NON-UNIFORM UNDERSAMPLING AND FREQUENCY EXCISION},
        proceedings={6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2012},
        month={5},
        keywords={},
        doi={10.4108/icst.crowncom.2011.246033}
    }
    
  • Andre Bourdoux
    Sofie Pollin
    Antoine Dejonghe
    Liesbet Van der Perre
    Year: 2012
    SPARSE SIGNAL SENSING WITH NON-UNIFORM UNDERSAMPLING AND FREQUENCY EXCISION
    CROWNCOM
    IEEE
    DOI: 10.4108/icst.crowncom.2011.246033
Andre Bourdoux1,*, Sofie Pollin1,*, Antoine Dejonghe1,*, Liesbet Van der Perre1,*
  • 1: IMEC, Kapeldreef 75, 3001 Leuven, Belgium
*Contact email: andre.bourdoux@imec.be, Sofie.Pollin@imec.be, Antoine.Dejonghe@imec.be, vdperre@imec.be

Abstract

We propose a novel compressive sensing algorithm for cognitive radio networks, based on non-uniform under-sampling. It is known that the spectrum of uniformly under-sampled signals exhibit frequency aliasing, whereby the frequency location is impossible. To alleviate aliasing, non-uniform sampling can be used. This, however, generates a high level of frequency leakage that prevents detection of weaker signals. To alleviate this problem, we introduce a novel iterative frequency excision technique that allows to detect tones or modulated signals below the original noise floor due to leakage. This method can be used in cognitive radio sensing engines, allowing to sense very wide bandwidths with a relatively low average sample rate. 20dB of leakage reduction can easily be achieved with this method.