基于自适应滤波的随掘地震去噪方法研究

Research on Seismic Signal Denoising Method for Tunneling Drilling Based on Adaptive Filtering

摘要: 针对煤矿巷道盾构随掘地震信号受环境噪声干扰严重的问题，提出一种基于自适应滤波的随掘地震信号去噪方法。首先通过设计基于自适应滤波算法的滤波器，通过动态更新滤波器权重实现干扰噪声的自适应抵消，并引入滑动窗口能量检测机制自适应调节收敛步长，平衡稳态误差与收敛速度。数值模拟结果表明：该方法在输入信噪比为10.43 dB的干扰条件下，输出信噪比提升至39.41 dB，验证了本文所提算法可以抑制随掘地震信号中的干扰噪声，为后续处理提供高信噪比地震数据。

Abstract: Aiming at the problem that the seismic signals during tunneling drilling in coal mines are severely interfered with by environmental noise, a seismic signal denoising method for tunneling drilling based on adaptive filtering is proposed. Firstly, a filter based on the adaptive filtering algorithm is designed. The interference noise is adaptively cancelled by dynamically updating the filter weights, and a sliding window energy detection mechanism is introduced to adaptively adjust the convergence step size, balancing the steady-state error and convergence speed. The numerical simulation results show that under the interference condition with an input signal-to-noise ratio of 10.43 dB, the output signal-to-noise ratio is increased to 39.41 dB, verifying that the proposed algorithm can suppress the interference noise in the seismic signals during tunneling drilling and provide high signal-to-noise ratio seismic data for subsequent processing.