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Title page for etd-0727104-160908


URN etd-0727104-160908 Statistics This thesis had been viewed 2145 times. Download 808 times.
Author Hsuan Liu
Author's Email Address No Public.
Department Communication Engineering
Year 2003 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 57
Title A TIME-DOMAIN DEBRIS FLOW RADAR BASED
ON HIGH-SPEED MICROWAVE EXCITATION
Keyword
  • TIME-DOMAIN DEBRIS FLOW RADAR
  • HIGH-SPEED MICROWAVE
  • HIGH-SPEED MICROWAVE
  • TIME-DOMAIN DEBRIS FLOW RADAR
  • Abstract ABSTRACT
    The purpose of this thesis is to employ the electromagnetic wave to develop a
    set of system and estimation method for monitoring remotely water content changes
    in the soil of mountains. It is often difficult to make soil moisture content
    measurements as a function of depth. Currently, the currently used equipments and
    methods need to touch the soil directly while sampling, in this way it becomes
    impractical with respect to a remote-monitoring purpose.
    In this thesis, for the purpose of repeating measurements and application of
    electromagnetic wave that can transmit into the soil, a set of remote time domain
    radar system is designed. Its frequency is in 4GHz. To analyze the characteristics of
    this system, one firstly utilizes this system to examine the soil moisture content
    samples. By transmitting the electromagnetic wave into soil, the reflected signals in
    time domain are transformed into spectral signals by Fourier Transform theory. By
    observing the spectral change, one can estimate the soil moisture content, or the depth
    of the water layer in soil. Further, in computer simulation, soil is divided into layers
    and each layer is supposed as different medium. By changing their dielectric
    constants and the depth of water layer in the soil, we analyze and discuss the reflected
    signal to guess the relationship between the dielectric constant of soil and water
    content indirectly.
    III
    Finally, for a qualitative analysis, we use neural network to seek the model
    curves that show the reflected wave change due to the soil water content change.
    The measured data from the sampling soil can be the database of neural network, after
    training, it is able to estimate the curve changes of the soil moisture content. This
    shows that the algorithm based on neural network can be applied in estimating the
    parameters of the soil.
    Advisor Committee
  • Chi-Fang Huang - advisor
  • Ke-Fan Liu - co-chair
  • The-Nan Chang - co-chair
  • Files indicate in-campus access immediately and off-campus access at one year
    Date of Defense 2004-07-13 Date of Submission 2004-07-27


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