Research on a New Constant Modulus Blind Equalization Algorithm in the Mine Industrial Network

There are spikes and thick-tailed non-Gaussian noise in the channel of mine industrial network. This noise will cause communication problems such as poor real-time data transmission, high bit error rate, many transmission links and poor data quality. This paper studies the fractional low-order \alph...

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Bibliographic Details
Main Authors: Tao, Yuan, Juanatas, Ronaldo, Caballero, Jonathan M.
Format: Conference Proceeding
Language:English
Subjects:
Blind equalizers
constant modulus blind equalization
fractional low order
Gaussian distribution
Interference
mining industry network
Signal processing
Signal processing algorithms
Software algorithms
stable distribution
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Summary:There are spikes and thick-tailed non-Gaussian noise in the channel of mine industrial network. This noise will cause communication problems such as poor real-time data transmission, high bit error rate, many transmission links and poor data quality. This paper studies the fractional low-order \alpha stable distribution ( \alpha ST) that can describe the statistical characteristics of this noise, A new constant modulus blind equalization algorithm suitable for mine industrial network channel is presented. Monte Carlo simulation experiments show that the proposed algorithm can converge stably, suppress the interference of non-Gaussian noise, balance the mine industrial network channel and recover the transmitted signal to the greatest extent.
ISSN:2472-8489
DOI:10.1109/ICCSN55126.2022.9817595