AN AUTOMATIC METHOD FOR ESTIMATING THE GEOMAGNETIC FIELD

被引：10

作者：

Mandrikova, O. V. ^{[1
,2
,3
,4
]}

Zhizhikina, E. A. ^{[1
,2
]}

机构：

[1] Russian Acad Sci, Inst Cosmophys Res & Radio Wave Propagat, Far Eastern Branch, Moscow, Russia

[2] Kamchatka State Tech Univ, Petropavlovsk Kamchatski, Russia

[3] Russian Acad Sci, Inst Cosmophys Res & Radio Wave Propagat, Far Eastern Branch, Syst Anal lab, Moscow, Russia

[4] Kamchatka State Tech Univ, Control Syst Sub Dept, Petropavlovsk Kamchatski, Russia

来源：

COMPUTER OPTICS | 2015年 / 39卷 / 03期

基金：

俄罗斯科学基金会;

关键词：

neural networks; wavelet transform; geomagnetic data; Earth's magnetic field;

D O I：

10.18287/0134-2452-2015-39-3-420-428

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We introduce a new method for estimating the geomagnetic field. The method is based on a combination of a wavelet transform with radial basis neural networks. In the method, the recorded geomagnetic field variations are decomposed into different-scale components and the degree of disturbance of each component is estimated, enabling the conclusion about the field state. For the verification of the method, we used geomagnetic data from the "Paratunka" station (Paratunka, Kamchatka region, data registration is carried out by IKIR FEB RAS). Analysis of the spectral-temporal characteristics of geomagnetic field variations during periods of moderate and strong magnetic storms was performed. Weak perturbations were detected in the geomagnetic field before the storms. The obtained results have confirmed the effectiveness of the proposed method.

引用

页码：420 / 428

页数：9

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