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Research on Clutter Suppression Method of UWB Signal in the Mine Under the Landslide

机译:滑坡下矿井UWB信号杂波抑制方法研究

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When the signal of UWB through the coal mine tunnel, the signal of effective target scattering is formed, and the strong back-scattering clutter signal which comes from the roadway wall is also produced. In order to suppress or eliminate the interference of the roadway wall clutter, this paper presents a clutter suppression algorithm based on Kalman filter model and SVM. In this method, the Kalman filter model suitable for the underground environment is constructed. The clutter estimation and the target-clutter separation are treated as the process of mutual influence. The target probabilities are tested by the conditional probability of each model. Then the SVM classifier suitable for the underground environment is constructed, and the filtered clutter signal is further suppressed and separated. The simulation results show the effectiveness of the proposed algorithm.
机译:当UWB通过煤矿隧道的信号时,形成有效目标散射的信号,并且还产生来自巷道壁的强的背散射杂波信号。为了抑制或消除道路壁杂波的干扰,本文提出了一种基于卡尔曼滤波器模型和SVM的杂波抑制算法。在该方法中,构建适合于地下环境的卡尔曼滤波器模型。杂波估计和目标杂波分离被视为相互影响的过程。目标概率通过每个模型的条件概率测试。然后构造适用于地下环境的SVM分类器,进一步抑制并分离过滤的杂波信号。仿真结果表明了该算法的有效性。

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