Title :
Detection for signal in ELF atmospheric noise interference
Author :
Fu, Tianhui ; Zhou, Suihua ; Zhang, Xiaobing
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, a new structure for signal detection in the ELF atmospheric noise is proposed. First, the ELF atmospheric noise is modeled as a symmetric α-stable (SαS) process. Then the performance of optimum linear detector, matched filter, and locally optimum detector are examined. The FFT-based algorithm is used for calculating the probability density function (PDF). Finally, the probability of error (Pe) of each detector is compared by extensive Monte-Carlo simulation.
Keywords :
atmospherics; fast Fourier transforms; signal detection; ELF atmospheric noise interference; FFT-based algorithm; extremely low frequency; non Gaussian noise; probability density function; signal detection; Atmospheric modeling; Background noise; Detectors; Frequency; Gaussian noise; Geophysical measurement techniques; Ground penetrating radar; Interference; Low-frequency noise; Signal detection; ELF; alpha-stable process; atmospheric noise; detection;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5477596
