Augmented Genetic Programming for automatic digital modulation classification

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@InProceedings{Zhu:2010:MLSP,

• author = "Zhechen Zhu and Muhammad Waqar Aslam and Asoke Kumar Nandi",
• title = "Augmented Genetic Programming for automatic digital modulation classification",
• booktitle = "2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)",
• year = "2010",
• month = "29 " # aug # "-" # sep # " 1",
• pages = "391--396",
• abstract = "Automatic modulation classification (AMC) is used to identify automatically the modulation types of transmitted signals using the received data samples in the presence of noise. It is a very important process for a receiver that has no, or limited, knowledge of signals received. It is an intermediate step between signal detection and demodulation and has various civilian and military applications. In this paper we propose to use Genetic Programming (GP) with KNN classifier for automatic classification of digital modulation types for the first time. The method proposed here has been designed for BPSK, QPSK, 16QAM and 64QAM. The results from simulation experiments show that the proposed method is able to identify the above modulation types at SNRs of 10dB and 20dB. The performance of the proposed method has been compared with existing methods and it is found to provide the best results so far.",
• keywords = "genetic algorithms, genetic programming, KNN classifier, augmented genetic programming, automatic digital modulation classification, transmitted signals, digital communication, modulation, pattern classification, signal detection",
• DOI = "doi:10.1109/MLSP.2010.5588920",
• ISSN = "1551-2541",
• notes = "Also known as \cite{5588920}",

}

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

Citations