Research on ELF atmospheric noise suppression method

Extremely low frequency (ELF) atmospheric noise is non-Gaussian, consisting of the sum of a Gaussian background and narrow pulses caused by lighting strokes. Therefore, the conventional detection method for signal in Gaussian noise gets worse. In this paper, myriad filter and locally optimal detector for signal detection in the ELF atmospheric noise is derived. First, the ELF atmospheric noise is modeled as a symmetric α-stable (SaS) process. Then the performance of myriad filter, matched filter, and locally optimum detector are examined. Finally, the probability of error of each detector is compared by extensive Monte-Carlo simulation.