Show simple item record

dc.contributor.authorPedzisz, M.
dc.contributor.authorMansour, Ali
dc.identifier.citationPedzisz, 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.

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.

dc.publisherAcademic Press
dc.titleAutomatic Modulation Recognition of MPSK Signals Using Constellation Rotation and its 4-th Order Cumulant
dc.typeJournal Article
dcterms.source.titleDigital Signal Processing
curtin.accessStatusFulltext not available
curtin.facultyDepartment of Electrical and Computer Engineering
curtin.facultySchool of Engineering
curtin.facultyFaculty of Science and Engineering

Files in this item


This item appears in the following Collection(s)

Show simple item record