• DocumentCode
    144340
  • Title

    Analysis and design of passive super low frequency detection system

  • Author

    Shan Shan Zhao ; Qi Ming Qin ; Nan Wang ; Li Chen ; Yan BingBai ; Cheng Ye Zhang

  • Author_Institution
    Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ., Beijing, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    5056
  • Lastpage
    5059
  • Abstract
    Natural source Super Low Frequency electromagnetic prospecting methods have seen an increasingly promising potential in geophysical applications. As the natural source electromagnetic signal is weak, the electromagnetic signal acquisition and processing hardware technology aiming at getting electromagnetic signals with high signal to noise ratio and data inversion accuracy is in great need. In this paper, we designeda signal processing and acquisition hardware system based on ARM platform, i.e., an embedded system, which was specific to the output signal from induction magnetic field. The FFT computation is conducted in our processor to convert time domain in to frequency domain. The relevant information is display on a LCD screen and the acquired data can be stored in storage module for further processing. The software system is based on UCOSII, and FAT32 FS, to improve operability of the system.
  • Keywords
    geophysical equipment; geophysical prospecting; ARM platform; FAT32 FS; LCD screen; UCOSII; electromagnetic prospecting methods; electromagnetic signal acquisition; geophysical applications; hardware technology; induction magnetic field; natural source electromagnetic signal; passive super low frequency detection system; signal-to-noise ratio; software system; Electromagnetics; Geology; Magnetic separation; Noise; Power harmonic filters; Receivers; Remote sensing; ARM; Electromagnetic; Embedded system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947633
  • Filename
    6947633