• DocumentCode
    3691039
  • 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
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    4708
  • Lastpage
    4711
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7326880
  • Filename
    7326880