# Mine Intelligent Receiver: MIMO-OFDM Intelligent Receiver for Mine Information Recovery
## 5 Conclusions  
In this paper, a mine intelligent receiver model was designed based on the MIMO-OFDM wireless communication system in a complex mine environment. This receiver model uses an improved CNN model to replace the traditional receiver signal processing  
Figure 12: Comparison of information recovery capabilities in dynamic environments.  
Figure 13: Information recovery performance for some lost data.  
process and achieves accurate recovery of the original information through autonomous learning of IQ data. Compared with the traditional receiver model, the mine intelligent receiver model designed in this paper has the following features:  
* The mine intelligent receiver model designed in this paper achieves the overall optimization effect at the receiver end. The conventional receiver model relies on theoretical assumptions between modules and has a serious error accumulation problem. Even single-module optimization and multi-module optimization based on deep learning only achieve the effect of local optimization, and the problem of error accumulation is not solved. The mine smart receiver designed in this paper is a model of overall joint optimization at the receiver side, which can realize blind reception of multiple digital modulation and coding combinations. Through autonomous learning of training data, data laws are extracted to achieve intelligent recovery of information.
* The mine intelligent receiver designed in this paper has stronger robustness. For the communication data loss caused by unexpected conditions in the complex communication environment of mines, the mine intelligent receiver has certain emergency performance and can better serve the actual mine communication scenarios.
* The mine intelligent receiver designed in this paper has rapid inference speed. By improving the structure of the CNN model, the inference speed of the model is accelerated, which is of application value to the actual mining wireless communication system and can better meet the requirement of immediacy of the mining communication system.  
Through the verification of the data generated by the simulation experimental platform, the mine smart receiver designed in this paper has good information recovery performance. However, the best enhancement has not been achieved for the number of antennas, and since this receiver model is dependent on the amount of data, this will be the area we need to enhance and improve. In the future, we will test this receiver model in a real mine communication scenario and improve and optimize it accordingly for possible problems in the real communication scenario.  
For this research article, [PERSON] was in charge of the methodology; [PERSON] was in charge of the writing, review, and formal analysis; [PERSON] was in charge of the data curation and field inspection; [PERSON] was in charge of the testing and verification. All authors have read and agreed to the published version of the manuscript.  
This research was supported by the Natural Science Foundation of China under the project \"Theory and Methodology of Marine Communication Channel Identification and Model Optimization\", Project No. U19B2015.  
Not applicable.  
The study was approved by Xi'an University of Science and Technology.  
The authors declare no conflict of interest.