在存在工频干扰的地区开展瞬变电磁法(TEM)工作时,工频干扰的强度通常很大,它的存在会使得反映地电异常的有用信号受到严重畸变,压制或去除工频干扰是数据预处理工作中的一项基础工作。针对这一问题,笔者设计了一种由可编程滤波器和自适应算法组成的具有自动调整滤波参数的滤波器。在进行滤波运算时,采用最小均方误差(LMS)算法不断地对滤波因子进行自动调节,使它们适应输入信号的相关特性,从而获得良好的滤波效果。理论数值模型和实际野外数据的验算表明,文中所设计的自适应滤波器具有很好的工频滤波效果。 In the presence of power frequency interference in the area of ​​transient electromagnetic (TEM) work, the frequency of the interference intensity is usually large, it will make the useful signal reflecting the geoelectric anomalies are severely distorted, suppression or removal of frequency interference is A basic work in data preprocessing. In response to this problem, I designed a filter composed of programmable filters and adaptive algorithms with automatic adjustment of the filter parameters of the filter. In the filtering operation, the minimum mean square error (LMS) algorithm is used to automatically adjust the filter factors so that they can adapt to the relevant characteristics of the input signal to obtain a good filtering effect. The calculation of the theoretical numerical model and the actual field data show that the adaptive filter designed in this paper has good frequency filtering effect.