{"title":"Research on MIMO-OFDM Deep Receiver in Mine Environment","authors":"Xuhong Li, Z. Feng, Anyi Wang","doi":"10.1109/dsins54396.2021.9670585","DOIUrl":null,"url":null,"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.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"PP 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/dsins54396.2021.9670585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.