A Channel Estimation for Intelligent Reflecting Surface Aided Mine Wireless Communications
LIU Yang
WANG Xiyang
QIAN Yanzhi
WANG Bin
Abstract：Aimed at the problems that mine wireless communications are low-accuracy in channel estima-tion caused by complicated and random characteristics,a multi-user mine communication system assisted by intelligent reflecting surface(IRS)technique is proposed in this paper to improve the accuracy of chan-nel estimation by optimizing the transmission path and reassigning the wireless transmission environment.First,in combination with IRS technique,a model of the IRS-assisted multi-user information transmission in the mine is established.And then,the parallel factor(PARAFAC)decomposition channel estimation algorithm is derived,and the performances of PARAFAC algorithm in the IRS-assisted mine wireless com-munications is simulated based on the model.The simulation results show that compared with the tradi-tional least-square(LS)algorithm and orthogonal matching pursuit algorithm,the proposed PARAFAC algorithm can obtain about 8 dB signal-to-noise ratio(SNR)gain at the same normalized mean-square error 10-2 while the execution time is slightly less than that of LS algorithm.
Keywords：mine wireless communicationschannel estimationintelligent reflecting surfacemean-square error
Publication Date：2024-10-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 115-120 )