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    Classification of human movements using Micro Doppler features in foliage environments.

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    TROY-DISSERTATION-2017.pdf (33.92Mb)
    Willis_Troy_CopyrightAvailability.pdf (775.1Kb)
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    Access changed 12/11/19.
    Date
    2017-07-25
    Author
    Troy, Willis Scott, 1982-
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    Abstract
    The focus of this work is measuring and classifying human motion in foliaged environments. A baseline study is performed using a vector network analyzer in open-space and foliaged environments for a variety of frequencies, activities, and formations. The results serve as a justification for a radar prototype’s parameters and a metric to gauge the prototype’s accuracy. The prototype is developed at 2.45 GHz to serve as a low cost and portable alternative to commercially available radars and to the vector network analyzer. Experimentation is repeated in open space and foliaged environments for a more thorough activity list and more participants. Data is post-processed to extract Doppler features and for classification. Results indicate that a low cost radar is capable of distinguishing human motion via human backscatter despite the attenuation, multipath, and blockage due to foliage.
    URI
    http://hdl.handle.net/2104/10118
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    • Theses/Dissertations - Electrical and Computer Engineering

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    Copyright © Baylor® University All rights reserved. Legal Disclosures.
    Baylor University Waco, Texas 76798 1-800-BAYLOR-U
    Baylor University Libraries | One Bear Place #97148 | Waco, TX 76798-7148 | 254.710.2112 | Contact: libraryquestions@baylor.edu
    If you find any errors in content, please contact librarywebmaster@baylor.edu
    DSpace software copyright © 2002-2016  DuraSpace
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