Study on extremely low frequency atmospheric noise signal processing

Schumann Resonance is seriously disturbed by the industrial environment noise. The SNR of Schumann resonance spectral peaks obtained is very low. The effect of singular value decomposition filtering on Schumann resonance data processing is studied in this paper. The relationship between the number of singular value and SNR is analyzed. And the algorithm of interference suppression ability is also discussed. The research in this paper shows that singular value decomposition algorithm can improve the SNR of Schumann Resonance in frequency domain, and the bandwidth is reduced. But the inhibition ability of narrowband interference is low. Singular value decomposition algorithm is more suitable for noise suppression in broadband in data processing of Schumann Resonance measurement.