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http://dx.doi.org/10.6109/jkiice.2014.18.10.2409

Automatic Recognition Algorithm for Linearly Modulated Signals Under Non-coherent Asynchronous Condition  

Sim, Kyuhong (Electronic Warfare R&D Lab., LIG Nex1)
Yoon, Wonsik (Department of Electrical and Computer Eng., Ajou University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.10, 2014 , pp. 2409-2416 More about this Journal
Abstract
In this paper, an automatic recognition algorithm for linearly modulated signals like PSK, QAM under noncoherent asynchronous condition is proposed. Frequency, phase, and amplitude characteristics of digitally modulated signals are changed periodically. By using this characteristics, cyclic moments and higher order cumulants based features are utilized for the modulation recognition. Hierarchial decision tree method is used for high speed signal processing and totally 4 feature extraction parameters are used for modulation recognition. In the condition where the symbol number is 4,096, the recognition accuracy of the proposed algorithm is more than 95% at SNR 15dB. Also the proposed algorithm is effective to classify the signal which has carrier frequency and phase offset.
Keywords
linearly modulated signal; automatic modulation recognition; cyclic moments; cumulants;
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