Analysis and design of passive super low frequency detection system

Shan Shan Zhao, Qi Ming Qin*, Nan Wang, Li Chen, Yan Bingbai, Cheng Ye Zhang

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5056-5059
Number of pages4
ISBN (Electronic)9781479957750
DOIs
Publication statusPublished - 4 Nov 2014
Externally publishedYes
EventJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada
Duration: 13 Jul 201418 Jul 2014

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

ConferenceJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Country/TerritoryCanada
CityQuebec City
Period13/07/1418/07/14

Keywords

  • ARM
  • Electromagnetic
  • Embedded system

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