Robust QAM Classification Using Genetic Programming and Fisher Criterion

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@InProceedings{EUSIPCO:2011,
  author =       "Muhammad Waqar Aslam and Zhechen Zhu and 
                 Asoke Kumar Nandi",
  title =        "Robust QAM Classification Using Genetic Programming
                 and Fisher Criterion",
  booktitle =    "19th European Signal Processing Conference, EUSIPCO
                 2011",
  year =         "2011",
  pages =        "995--999",
  address =      "Barcelona, Spain",
  month =        "28 " # aug # " - 2 " # sep,
  organization = "Eurasip",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.eurasip.org/Proceedings/Eusipco/Eusipco2011/papers/1569422149.pdf",
  size =         "5 pages",
  abstract =     "Automatic modulation recognition has seen increasing
                 demand in recent years. It has found many applications
                 in wireless communications, including both civilian and
                 military applications. It is a scheme to identify
                 automatically the modulation type of received signal by
                 observing data samples of received signals in the
                 presence of noise. In this paper a combination of
                 genetic programming (GP) and Fisher criterion is
                 proposed for classification of QAM modulation schemes
                 for the first time. This method appears to be both
                 efficient and robust. Due to an increase in importance
                 of QAM modulations schemes in recent times we have used
                 QAM for classification purpose. The modulations
                 considered here are QAM16 and QAM64. Simulations and
                 results show that the performance achieved using GP are
                 better than other methods presented so far",
  timestamp =    "2013.03.25",
}

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

Citations