Research on ELF atmospheric noise suppression method

Author

Fu, Tianhui ; Zhou, Suihua ; Wang, Liqun

Author_Institution

Dept. of Weaponry Eng., Naval Univ. of Eng., Wuhan, China

Volume

5

fYear

2010

fDate

9-11 July 2010

Firstpage

542

Lastpage

546

Abstract

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.

Keywords

Gaussian noise; Monte Carlo methods; atmospherics; interference suppression; matched filters; signal detection; ELF atmospheric noise suppression; Gaussian noise; Monte Carlo simulation; extremely low frequency; lighting strokes; matched filter; myriad filter; narrow pulses; signal detection; Computational modeling; ELF; atmospheric noise; locally optimal detector; myriad filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5537-9

Type

conf

DOI

10.1109/ICCSIT.2010.5563922

Filename

5563922