A Continue-Domain Sparse-Based Channel Estimation Method in Power Tunnel Communication

Wei Liu, Tian Liang,Ti Guan,Kun Zhang, Wenshuang Wang, Dan Wang

2023 6th World Conference on Computing and Communication Technologies (WCCCT)(2023)

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Abstract
The closedness of the power tunnel causes multipath effect at the receiving end in the wireless communication system, seriously affecting the communication quality. In this paper, we propose a meshless channel estimation method in continuous domain for complex tunnel environment. Discretization of the continuous domain is prone to grid mismatch problems. The atomic norm minimization method can improve estimation accuracy without meshing the grids. By comparing the estimation abilities of the proposed method with the traditional channel estimation methods in the same power tunnel environment, it can be seen that the ANM method can obtain a lower bit error rate (BER) and a smaller normalized mean square error (NMSE) value under medium and high signal-to-noise regions.
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Key words
power tunnel,channel estimation,grid-free method,orthogonal frequency division multiplexing,normalized mean squared error,bit error rate
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