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

Simple item page
dc.contributor.advisorLi, Yang, 1982-
dc.contributor.advisorThompson, Michael Wayne.
dc.creatorTroy, Willis Scott. 1982-
dc.date.accessioned2017-09-28T13:31:45Z
dc.date.accessioned2018-01-22T22:23:09Z
dc.date.available2017-09-28T13:31:45Z
dc.date.available2018-01-22T22:23:09Z
dc.date.created2017-08
dc.date.issued2017-07-25
dc.date.submittedAugust 2017
dc.date.updated2017-09-28T13:31:45Z
dc.description.abstractThe 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.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2104/10118
dc.language.isoen
dc.rights.accessrightsNo access - Contact librarywebmaster@baylor.edu
dc.subjectRadar. Doppler. MicroDoppler. Human motion. Foliage. Signal processing. Machine learning.
dc.titleClassification of human movements using Micro Doppler features in foliage environments.
dc.typeThesis
dc.type.materialtext

Files

Collections

Baylor University