Blind Parameter Estimation of M-FSK Signals in the Presence of Alpha-Stable Noise

Abstract

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Reliable Detection of Transmit-Antenna Number for MIMO Systems in Cognitive Radio-Enabled Internet of Things

“…Since alpha-stable processes with infinite variance, existing methods based on covariance exhibit considerable performance degradation. Although several schemes have been proposed in the literature for the alpha-stable noise/interference, such as Myriad filter [21], fractional lower-order statistics [22], zero order statistics [23], correntropy [24] and nonlinear preprocessor [25]. To the best of our knowledge, no work exists in the literature on antenna enumeration in MIMO systems with Gaussian noise and SαS interference.…”

Transmit Antenna Number Identification for MIMO Cognitive Radio Systems in the Presence of Alpha-Stable Noise

“…Currently, several non-Gaussian models are adopted in the literature, such as the Gaussian mixture noise, generalized Gaussian noise and the alpha stable noise. The family of alpha-stable distributions has been proved as an accurate model for heavy-tailed noise [25], [26]. To the best of our knowledge, no work has yet considered the problem of identification of the number of transmit antennas in the presence of alpha-stable noise.…”