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    Automatic Modulation Recognition of MPSK Signals Using Constellation Rotation and its 4-th Order Cumulant

    Access Status
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    Authors
    Pedzisz, M.
    Mansour, Ali
    Date
    2005
    Type
    Journal Article
    
    Metadata
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    Citation
    Pedzisz, Maciej and Mansour, Ali. 2005. Automatic Modulation Recognition of MPSK Signals Using Constellation Rotation and its 4-th Order Cumulant. Digital Signal Processing. 15 (3): pp. 295-304.
    Source Title
    Digital Signal Processing
    DOI
    10.1016/j.dsp.2004.12.007
    ISSN
    10512004
    Faculty
    Department of Electrical and Computer Engineering
    School of Engineering
    Faculty of Science and Engineering
    URI
    http://hdl.handle.net/20.500.11937/17244
    Collection
    • Curtin Research Publications
    Abstract

    We derive and analyze a new pattern recognition approach for automatic modulation recognition of MPSK (2, 4, and 8) signals in broad-band Gaussian noise. Presented method is based on constellation rotation of the received symbols, and a 4th order cumulant of a 1D distribution of the signal's in-phase component. Using Fourier series expansion of this cumulant as a function of the rotation angle, we extract invariant features which are then used in a neural classifier. Discrimination power of the proposed set of features is verified through extensive simulations, and the performance of the suggested algorithm is compared to the maximum-likelihood (ML) classifiers. Corresponding results show that our technique is comparable to the coherent ML classifier and outperforms the non-coherent pseudo-ML method for all considered signal-to-noise ratio (SNR) without the computational overhead of the latter.

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