Mine MIMO Depth Receiver: An Intelligent Receiving Model Based on Densely Connected Convolutional Networks.

Mingbo Wang,Jing Chai,Heng Zhang,Anyi Wang,Zhaoyang Liu

doi:10.3390/s21248326

Abstract

Multiple-input multiple-output (MIMO) systems suffer from high BER in the mining environment. In this paper, the mine MIMO depth receiver model is proposed. The model uses densely connected convolutional networks for feature extraction and constructs multiple binary classifiers to recover the original information. Compared with conventional MIMO receivers, the model has no error accumulation caused by processes such as decoding and demodulation. The experimental results show that the model has better performance than conventional decoding methods under different modulation codes and variations in the number of transmitting terminals. Furthermore, we demonstrate that the model can still achieve effective decoding and recover the original information with some data loss at the receiver.

Highlights

Coal plays an important role in the production and consumption of primary energy [1]
We propose a new mine Multiple-input multiple-output (MIMO) depth receiver model, which is based on densely connected convolutional networks for data feature extraction, while multiple binary classifiers are constructed to achieve end-to-end data recovery
The results show that the mine MIMO depth receiver can still achieve accurate decoding despite missing data

Summary

Introduction

Coal plays an important role in the production and consumption of primary energy [1]. Some results have been achieved for underground MIMO systems in mines Liu and his colleagues [5] proposed a MIMO spatially correlated channel model based on Nakagami fading based on the variability of the downhole multipath signal fading characteristics. The mine MIMO depth receiver, which uses the same modulation coding method in different mine environments, achieves and surpasses the traditional decoding method. The results show that the mine MIMO depth receiver has a higher decoding performance compared to the traditional decoding method. A communication system with a mine MIMO depth receiver can reasonably reduce the data at the transmitter side while maintaining the decoding performance of the system, which will offer the possibility of reducing the power consumption of the MIMO system.

MIMO Signal Model

Space-Time Coding Technology

Model Performance Analysis

Conclusions