地磁观测中干扰抑制方法的发展及展望

Method and Application on Reducing Man-made Electromagnetic Noise in Geomagnetic Field Observation

地磁观测数据不仅具有学术研究意义,也是不可或缺的国家基础战略资源.但是,目前我国地磁台网中近1/3地磁台站正日益受到由外界人工电磁干扰源的干扰,产出的地磁观测数据质量下降.如何选用合适的技术方法对干扰进行辨识是目前地磁台网运行中数据处理的热点和难点.基于此本文从地磁观测数据中分析及抑制方法中遇到的主要问题入手,对现代信号处理技术在地磁数据分析及干扰抑制方面的应用进行归纳总结,作为现代信号处理的演化的新方向,介绍了智能信息处理理论中数据融合、数据挖掘等技术在地磁数据分析方法的发展及展望中谈及.研究发现,智能信息处理是地磁数据中干扰辨识及抑制领域有效技术和今后发展趋势,也是地磁观测数据综合处理中值得借鉴和学习的有效技术之一.

Geomagnetic observation data not only possess academic significance, but also a kind of indispensable strategic resource. However, according to incomplete statistics, 1/3 geomagnetic observatories in China Geomagnetic Networks are facing man-made electromagnetic noise. The quality of produced geomagnetic observation data declined sharply, This paper starts from the primary issue of identification and reduce of man-made electromagnetic noise, then presents a survey and overview of modern signal processing and its application in this field. Further research of intelligence information processing theory including data fusion, data mining are discussed finally. This study shows that intelligent information processing technique is one of the efficient processing tools and techniques in geomagnetic man-made electromagnetic noise identification and reduction, and it also represents the effective tools in geomagnetic data processing.