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.
LUO Qi,ZHOU Yang,WU Yanxia et al. Research on Kernel Adaptive Filtering in Geomagnetic Secondary Data Interference Suppression[J]. jgg, 2020, 40(7): 708-712.