Title :
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
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;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5563922
