Journal of Systems Engineering and Electronics ›› 2012, Vol. 34 ›› Issue (1): 208-211.doi: 10.3969/j.issn.1001-506X.2012.01.38

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Study on the data processing methods for Schumann resonance and its application

ZHOU Hongjuan, YU Haiyan, QIAO Xiaolin   

  1. School of Information Engineering, Weihai Campus, Harbin Institute of Technology, Weihai 264209, China
  • Online:2012-01-13 Published:2010-01-03

Abstract:

The Schumann resonance (SR) signal is often buried in the dramatic noise from the surrounding environment, so the performances of the routine methods are affected. In order to extract the weak SR signal reliably, the SR raw data are filtered by a singular value decomposing (SVD) method and the correlative parametars are obtained by regular methods. The actual SR data are filtered by SVD method and are processed by multi-peaks fitting method. The distribution of lighting source around the observatory, the diurnal variation regular of parameters and the frequency variation during a severe solar flare event are analyzed. The analysis results prove that the parameters estimated by the proposed method can manifest the natural law better and greatly improve the performance of the routine methods.

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