Automatic modulation classification based on high order cumulants and hierarchical polynomial classifiers

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@Article{Abdelmutalab:2016:PC,

• author = "Ameen Abdelmutalab and Khaled Assaleh and Mohamed El-Tarhuni",
• title = "Automatic modulation classification based on high order cumulants and hierarchical polynomial classifiers",
• journal = "Physical Communication",
• volume = "21",
• pages = "10--18",
• year = "2016",
• ISSN = "1874-4907",
• DOI = "doi:10.1016/j.phycom.2016.08.001",
• URL = "http://www.sciencedirect.com/science/article/pii/S1874490716301094",
• abstract = "In this paper, a Hierarchical Polynomial (HP) classifier is proposed to automatically classify M-PSK and M-QAM signals in Additive White Gaussian Noise (AWGN) and slow flat fading environments. The system uses higher order cumulants (HOCs) of the received signal to distinguish between the different modulation types. The proposed system divides the overall modulation classification problem into several hierarchical binary sub-classifications. In each binary sub-classification, the HOCs are expanded into a higher dimensional space in which the two classes are linearly separable. It is shown that there is a significant improvement when using the proposed Hierarchical polynomial structure compared to the conventional polynomial classifier. Moreover, simulation results are shown for different block lengths (number of received symbols) and at different SNR values. The proposed system showed an overall improvement in the probability of correct classification that reaches 100percent using only 512 received symbols at 20 dB compared to 98percent and 98.33percent when using more complicated systems like Genetic Programming with KNN classifier (GP-KNN) and Support Vector Machines (SVM) classifiers, respectively.",
• keywords = "genetic algorithms, genetic programming, Modulation classification, Hierarchical polynomial classifiers, High order cumulants, Adaptive modulation",

}

Genetic Programming entries for Ameen Abdelmutalab Khaled Assaleh Mohamed El-Tarhuni

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