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This paper concerns modulation classification for quadrature amplitude modulation (QAM) formats. Based on a maximum likelihood classification scheme using amplitude information only, we propose a simplified algorithm that achieves computational efficiency at the cost of small performance degradation. A general performance analysis of the classification scheme (assuming perfect time synchronization)...
We consider modulation classification for quadrature amplitude modulation (QAM) formats. The received signal is assumed to be unsynchronized in both time and frequency, since in practice the receiver has little prior knowledge about the transmitted signal. To tackle this challenging problem, we propose a classifier that is based on a combination of blind time synchronization, differential processing,...
Conventional modulation classification (MC) schemes usually assume that perfect synchronization has been accomplished and then rely on certain statistical characteristics to distinguish different modulation formats. In practice, however, this perfect synchronization assumption is not reasonable since modulation classifiers operate in a non-cooperative manner and therefore, the receiver has little...
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