核自适应滤波算法在地磁秒数据干扰抑制中的研究

为解决地磁台站受干扰的问题,对不同干扰源进行相应特征与频谱分析发现,多噪声源干扰并无优势频段,并且相互叠加,呈现高度非线性。针对地磁观测信号易受轨道交通噪声、仪器自身噪声、高压直流噪声和行车脉冲噪声等干扰,提出一种能根据外部环境激励而自主调节滤波参数的非线性核自适应滤波算法。通过对实际受干扰地磁信号进行处理,验证核自适应滤波具有抑制台站常见地磁噪声的特性,可为地磁干扰抑制技术提供新方法。

Research on Kernel Adaptive Filtering in Geomagnetic Secondary Data Interference Suppression

Abstract: In order to solve the interference problem of geomagnetic stations, this paper analyzes the characteristics and spectrum of different interference sources. It is found that the interference of multiple noise sources has no dominant frequency band and is highly nonlinear. In view of the fact that the geomagnetic observation signal is vulnerable to the interference of rail transit noise, instrument noise, high-voltage DC noise and driving pulse noise, this paper puts forward a new method based on a nonlinear kernel adaptive filtering algorithm which can adjust the filtering parameters independently under the excitation of external environment. Through the processing of the actual disturbed geomagnetic signal, it is verified that the nuclear adaptive filter has the characteristics of suppressing the common geomagnetic filter noise in the station and provides a new method for the geomagnetic interference suppression technology.