自适应噪声抵消技术的仿真与应用研究

Research and Simulation of Adaptive Noise Cancellation Technique

从有用信号中剔除噪声是信号处理中一个重要研究课题。在金属矿区进行地震勘探数据采集时,经常会受到矿区内机械设备的强噪声干扰,常规的滤波方法对于淹没在强机器噪声下的有效地震信号的提取已经不适用,而随着计算机和信号处理技术的发展,自适应噪声抵消技术已广泛的应用于各个领域。通过对自适应噪声抵消器原理的研究,结合地震数据信噪模型分析,重点研究利用自适应噪声抵消技术来消除机器噪声。针对基于NLMS算法的常规技术存在的不足,提出了一种改进的算法,并运用MATLAB进行仿真试验,仿真结果表明自适应噪声抵消技术可以有效抵消机器噪声的干扰,大大提高地震资料的信噪比,使有效地震信号失真小。

In the field of signal processing, it is very important to separate the noise from the available signal. The seismic data for finding mines is usually contaminated by the noise generated by the working machines around the detectors collecting the seismic signal in old diggings. The conventional filtering method proves inadequate in removing the strong machine noise from the seismic signal. With the development of computer and the signal processing, the adaptive noise cancellation has been widely used in some fields. After mastering the principles of this method and analyzing the relation and difference between the machine noise and the seismic data, an adaptive noise cancellation technique is studied to remove the machine noise. Aiming at the shortcoming of the conventional NLMS - based technique, this paper presents a new algorithm to remove the strong machine noise background and simulate it by using MATLAB. The results of simulation show that adaptive noise cancellation technique has good effect on reducing the machine noise with little distortion of seismic signal.