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Wideband processing and analysis of lightning in the earth-ionosphere waveguide

Author(s)
Lowenfels, David F., 1979-
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Alternative title
Wideband signal processing and analysis of lightning in the earth-ionosphere waveguide
Other Contributors
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Earle R. Williams.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
A new vertical electric field antenna has been installed at our West Greenwich, RI Schumann resonance field station, coupled to a high-bandwidth charge amp and a computerized sampling system. Techniques are given for the processing of lightning transients. Digital signal processing techniques for the removal of power line harmonic noise are presented and evaluated. Additionally, a wideband (3 Hz - 24 kHz) simulation model has been developed. This model gives evidence that slow tail waveforms are generated primarily due to the variation of waveguide phase velocity with frequency and the depletion of spectral energy in the waveguide cutoff region. Preliminary formulas for distance estimation have been developed from the simulations, based on slow tail separation time and spectral ratios. These methods are evaluated for consistency against real events.
Description
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
 
Includes bibliographical references (p. 70-72).
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Date issued
2002
URI
http://hdl.handle.net/1721.1/16973
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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