Adaptive algorithms for blind channel equalization in impulsive noise

Abrar, Shafayat; Zerguine, Azzedine; Abed-Meraim, Karim

doi:10.1016/j.sigpro.2022.108626

Cited by 6 publications

(1 citation statement)

References 83 publications

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“…in the atmosphere. These signals often exhibit significant spike pulse characteristics [2][3][4], underscoring the inadequacy of Gaussian models for simulating natural noise processes. Consequently, alpha stable distribution [5], a non-Gaussian model which can describe such noise processes more accurately, has received increasing attention.…”

Section: Introductionmentioning

confidence: 99%

Linearly-coupled sigmoid bistable stochastic resonance for weak signal detection

Zong,

An,

Zhang

et al. 2024

Meas. Sci. Technol.

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The paper focuses on developing a stochastic resonance system designed for the detection of weak signals under Alpha-stable-distributed noises. Initially, in view of the strong impulsive characteristics of noises, a Linearly-coupled Sigmoid Bistable Stochastic Resonance (LSBSR) system is proposed, which is constructed by potential function and sigmoid function. Through formula derivation, it is theoretically proved that the output SNR of the LSBSR system is superior to that of the classical bistable stochastic resonance (CBSR) system. Then, a new signal processing strategy based on the LSBSR system is introduced. Simulation experiments have demonstrated that under the input SNR=-20dB, the detection probability of the LSBSR system exceeds 95% for the Alpha-stable-distributed noise with α=1.5. When α is reduced to 0.1, the detection probability approaches 80%, significantly outperforming other detection methods. Finally, the LSBSR system is applied to detect sea-trial signals with an SNR improvement (SNRI) of 22.5dB, which further validates the practicability of the proposed system.

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