Automatic digital modulation classification using Genetic Programming with K-Nearest Neighbor

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Muhammad Waqar Aslam and Zhechen Zhu and 
                 Asoke K. Nandi",
  title =        "Automatic digital modulation classification using
                 Genetic Programming with K-Nearest Neighbor",
  booktitle =    "MILCOM 2010",
  year =         "2010",
  month =        oct # " 31-" # nov # " 3",
  pages =        "1731--1736",
  abstract =     "Automatic modulation classification is an
                 intrinsically interesting problem with various civil
                 and military applications. A generalised digital
                 modulation classification algorithm has been developed
                 and presented in this paper. The proposed algorithm
                 uses Genetic Programming (GP) with K-Nearest Neighbour
                 (K-NN). The algorithm is used to identify BPSK, QPSK,
                 16QAM and 64QAM modulations. Higher order cumulants
                 have been used as input features for the algorithm. A
                 two-stage classification approach has been used to
                 improve the classification accuracy. The high
                 performance of the method is demonstrated using
                 computer simulations and in comparisons with existing
  keywords =     "genetic algorithms, genetic programming, 16QAM, 64QAM,
                 BPSK, K-nearest neighbour, QPSK, automatic digital
                 modulation classification, civil application, computer
                 simulations, military application, quadrature amplitude
                 modulation, quadrature phase shift keying, signal
  DOI =          "doi:10.1109/MILCOM.2010.5680232",
  ISSN =         "2155-7578",
  notes =        "Also known as \cite{5680232}",

Genetic Programming entries for Muhammad Waqar Aslam Zhechen Zhu Asoke K Nandi