Hybrid Maximum Likelihood Modulation Classification Using Multiple Radios

4 Mar 2013Onur OzdemirRuoyu LiPramod K. Varshney

The performance of a modulation classifier is highly sensitive to channel signal-to-noise ratio (SNR). In this paper, we focus on amplitude-phase modulations and propose a modulation classification framework based on centralized data fusion using multiple radios and the hybrid maximum likelihood (ML) approach... (read more)

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