Automatic modulation classification: Cauchy-Score-function-based cyclic correlation spectrum and FC-MLP under mixed noise and fading channels
S Luan, Y Gao, T Liu, J Li, Z Zhang - Digital Signal Processing, 2022 - Elsevier
Automatic modulation classification (AMC), also termed blind signal modulation recognition,
plays a critical role in various civilian and military applications. Although existing
approaches have made substantial contributions in this area, most fail to simultaneously
consider mixed noise, different channel modes and low-power scenarios. In this paper, a
novel cyclic correlation spectrum based on the Cauchy Score function is first proposed as
the robust pattern for the outliers in the Gaussian and non-Gaussian mixed noise. Besides …
plays a critical role in various civilian and military applications. Although existing
approaches have made substantial contributions in this area, most fail to simultaneously
consider mixed noise, different channel modes and low-power scenarios. In this paper, a
novel cyclic correlation spectrum based on the Cauchy Score function is first proposed as
the robust pattern for the outliers in the Gaussian and non-Gaussian mixed noise. Besides …
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