基于井下UWB通信的奇异点降噪性能

Denoising analysis of singular points based on UWB communication in mine

针对井下环境电磁骚扰严重,而传统低通滤波方法仅能去除带外噪声的情况,考虑井下噪声以白噪声和较宽频带火花干扰为主的特点,采用小波变换奇异点的模极大值方法对带内噪声进行再滤波研究。仿真结果表明,对于井下中低信噪比环境,该方法能够有效地保留发射信号的奇异点信息,且降噪效果明显。

Aimed at seeking an alternative to traditional low-pass filtering method which could only remove the out-band noise occurring in the mines plagued by the serious electromagnetic disturbance of the EMC environment, this paper proposes the in-band noise filtering method using the wavelet transform modulus maxima, along with the underground noise dominated by white noise and the wide-band spark interference. Simulation results indicate that this method could effectively keep the singularity of the signal, with a remarkable effect of filtering in mines marked by low SNR environment.