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Non-linear FM Demodulation with Neural Networks in Through-the-earth Mine Communications

机译：地雷通信中具有神经网络的非线性FM解调

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摘要

Classical methods of FM demodulation used in through-the-earth mine communications rely heavily on an assumption of Gaussian random noise. Such assumption ignores many possible non-linear effects which may affect signal-to-noise ratio at the receiver and lead to increase in bit error. We propose a simple technique based on convolutional neural network which is robust to possible non-linear effects. Our field study demonstrates that such effects do occur in through-the-earth communications and that the distorted signal at the receiver can still be demodulated with reasonably low bit error rate.
机译：地雷通信中使用的FM解调的经典方法在很大程度上依赖于高斯随机噪声的假设。这种假设忽略了许多可能影响接收器信噪比并导致误码率增加的非线性效应。我们提出了一种基于卷积神经网络的简单技术，该技术对可能的非线性影响具有鲁棒性。我们的现场研究表明，这种影响确实会在地球通信中发生，并且接收器处的失真信号仍然可以以相当低的误码率进行解调。

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