Mine Intelligent Receiver: MIMO-OFDM Intelligent Receiver for Mine Information Recovery

Anyi Wang, Zhiyuan Feng (), Xuhong Li and Yong Pan
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Anyi Wang: School of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
Zhiyuan Feng: School of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
Xuhong Li: School of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
Yong Pan: School of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, China

Energies, 2022, vol. 15, issue 18, 1-17

Abstract: With the advancement of an intellectual and numerical society, the coal mining industry has also begun to change to intelligence. As an important aspect of intelligent coal mine construction, coal mine communication has put forward more stringent standards for communication quality. For the complex communication environment in mines, the transmission of communication signals is always damaged by various noises and interferences, resulting in serious distortion of the communication signals received at the receiving end. Therefore, the use of traditional receivers for information recovery has the problem of high bit error rate (BER), which cannot meet the standard of intelligent coal mine construction. Based on this, the aim of this research is to combine convolutional neural networks (CNN) and multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) communication systems to design an intelligent receiver model for complex mine communication systems. At the receiver side, CNNs are used to take the place of all the information processing processes. First, features are extracted from the received IQ signal by the convolutional neural network, and then the original information bit is recovered using a multi-label classifier to finally realize end-to-end information restoration. The experimental results show that the intelligent receiver model designed in this research has more accurate information recovery capability in the complex mine channel environment compared with the traditional receiver. In addition, they also verify that the intelligent receiver can still recover information effectively when the traditional receiver cannot recover information properly in the case of partial loss of received data.

Keywords: intelligent coal mine communication system; mine information recovery; mine intelligent receiver; deep learning; end-to-end signal processing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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