Research on MIMO-OFDM Deep Receiver in Mine Environment

Xuhong Li, Z. Feng, Anyi Wang
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引用次数: 2

Abstract

With the advance of intelligent and digital society, the coal mine industry is also transitioning to intelligent. For the complex mine communication environment, communication signal transmission is always subject to various interference, based on this, people combine MIMO technology and OFDM technology proposed MIMO-OFDM technology, can effectively respond to various adverse factors in the mine environment. Based on this, MIMO-OFDM technology is proposed by combining MIMO technology and OFDM technology, which can effectively respond to various adverse factors in the mine environment. The superposition of the two technologies also leads to the improvement of system complexity, especially at the receiving end, which increases the workload of the receiver. In order to solve the receiver dilemma of MIMO-OFDM system, this paper proposes a MIMO-OFDM deep receiver based on deep learning. Simulation experiments show that the bit error rate is reduced by about three orders of magnitude when the SNR is 4dB, so the bit error performance of the MIMO-OFDM depth receiver proposed in this paper is far better than that of the traditional step receiver.
矿井环境下MIMO-OFDM深度接收机的研究
随着智能化、数字化社会的推进,煤矿行业也在向智能化转型。对于复杂的矿山通信环境,通信信号的传输总是会受到各种干扰,基于此,人们将MIMO技术与OFDM技术相结合,提出了MIMO-OFDM技术,能够有效应对矿山环境中的各种不利因素。在此基础上,将MIMO技术与OFDM技术相结合,提出MIMO-OFDM技术,能够有效应对矿山环境中的各种不利因素。两种技术的叠加也导致了系统复杂度的提高,特别是在接收端,增加了接收端的工作量。为了解决MIMO-OFDM系统的接收机困境,本文提出了一种基于深度学习的MIMO-OFDM深度接收机。仿真实验表明,当信噪比为4dB时,误码率降低了约3个数量级,因此本文提出的MIMO-OFDM深度接收机的误码率性能远远优于传统的阶跃接收机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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