Title :
VLF Atmospheric Noise Suppression Using Median Filter and Wavelet Threshold Denoising
Author :
Fu, Tianhui ; Zhou, Suihua
Author_Institution :
Dept. of Weaponry Eng., Naval Univ. of Eng., Wuhan, China
Abstract :
Very low-frequency (VLF) atmospheric noise is nonGaussian, consisting of the sum of a Gaussian background and narrow pulses caused by lighting strokes, and conventional denoising method fails on it. In this paper, a new strategy to suppress the VLF atmospheric noise is proposed. First, the corrupt signal is passed through a median filter and the impulses in the atmospheric noise are suppressed. Then the disposed signal is shrunk with wavelet threshold to suppress the residual Gaussian noise. Finally, ultimate reconstructed signal is attained. The results are compared to the conventional method in the VLF communication system.
Keywords :
Gaussian noise; atmospheric techniques; atmospherics; geophysical signal processing; impulse noise; median filters; signal denoising; wavelet transforms; VLF atmospheric noise suppression; corrupt signal; lighting strokes; median filter; residual Gaussian noise; very low-frequency atmospheric noise; wavelet threshold denoising; Atmospheric modeling; Atmospheric waves; Background noise; Filters; Gaussian noise; Lightning; Low-frequency noise; Noise level; Noise reduction; Probability distribution;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5301875
