This is not a NIOSH Numbered Publication


Adaptive-Noise-Cancellation Techniques for Through-the-Earth Electromagnetics: Volume III

1984

Publication first page
Document cover page
Click the image to enlarge

An electromagnetic (EM) system for the location of trapped mine workers at coal-mine (300 m) depths has been developed. The use of such a system in deep mines (1-km depth) requires transmission at extremely low frequencies (ELF) and a reduction in the effective noise level beyond that which can be obtained by acceptable integration times. Automatic-noise-cancellation (ANC) techniques reduce the effective noise level by combining several received signals that contain correlated noise. Such signals can be obtained either from a remote magnetic antenna or a local electric antenna. During Phase III of this program, real ELF noise data were acquired and used to test the ANC algorithms developed during Phase II. The ELF noise data were obtained from analog recordings made by Develco under another Bureau of Mines contract. Digitization was accomplished by an A/D converter that was added to a GMRR computer. Phase III tasks included preparation of software for digitization, computer-computer communication, data processing, and statistical analysis. Useable data were obtained from eleven half-hour tapes containing noise from one axis of the primary antenna and three axes of the remote antenna. The overall average improvement in SNR was 4.1 dB. However, the average improvements for the individual X, Y, and Z axes were 4.2, 11.9, and -1.9 dB, which roughly follow the observed noise power. Nonlinear processing was not effective with this noise.

Author(s):Raab-FH
Reference:Green Mountain Radio Research Company. U.S. Department of the Interior, Bureau of Mines. Contract No. J0318070, Feb. 1984; 100 pp

   j0318070-3 (PDF, 3135 KB)


A link above requires the Adobe Acrobat® Reader.
You can download a reader for free from Adobe through our Accessibility/Tools page.
Get Adobe Reader
Page last updated: September 17, 2008
Content Source: National Institute for Occupational Safety and Health (NIOSH) Mining Division