Title :
Super-Low Frequency electromagnetic noise processing system based on adaptive filtering
Author :
Shanshan Zhao;Nan Wang;Li Chen;Jian Hui;Chengye Zhang;Qiming Qin
Author_Institution :
Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, 100871, China
fDate :
7/1/2015 12:00:00 AM
Abstract :
Super Low Frequency electromagnetic prospecting methods, based on natural source, have seen an increasingly trend in geophysical applications. It is known that natural source electromagnetic signal is weak, and how to extract useful information has drew great attention wordwidely. In this paper, we designed a signal processing method, an adaptive filter, to filter out the strong power frequency interference at 50Hz and its harmonics mixed in the output signal from induction magnetic sensors. As the output could change with the input, the adaptive filter system is releated to its input signal closely and specificly. Because of its stronger adaptability and better filtering performance, the adaptive filter showed good effectiveness.
Keywords :
"Adaptive filters","Finite impulse response filters","Electromagnetics","Power harmonic filters","Wiener filters","Maximum likelihood detection","Nonlinear filters"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7326880