电力隧道通信中基于连续域稀疏的信道估计方法

Wei Liu, Tiancheng Liang, Ti Guan, Kun Zhang, Wenshuang Wang, Dan Wang
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引用次数: 0

摘要

在无线通信系统中,功率隧道的封闭性会在接收端产生多径效应,严重影响通信质量。针对复杂隧道环境,提出了一种连续域无网格信道估计方法。连续域的离散化容易产生网格失配问题。原子范数最小化方法可以在不进行网格划分的情况下提高估计精度。通过与传统信道估计方法在相同功率隧道环境下的估计能力比较,可以看出,在中高信噪区,ANM方法可以获得较低的误码率(BER)和较小的归一化均方误差(NMSE)值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Continue-Domain Sparse-Based Channel Estimation Method in Power Tunnel Communication
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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