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Localization in challenging environment using geometric and machine learning techniques
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The establishment of robust sensor network applications requires accurate and non complex positioning techniques using a full or partial set of observations. In a practical...
Antenna designs and imaging algorithm for radar-based microwave breast cancer detection
(University of Missouri--Columbia, 2018)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] In this work, the design of ultra-wideband antennas and an algorithm for artifact removal and image reconstruction beamforming for microwave breast ...
Sub-optimal and robust downlink beamforming in wireless networks with imperfect channel state information
(University of Missouri--Columbia, 2021)
. Rigid beamforming is assured when the accurate channel state information (CSI) of the wireless system are acquired at the beamforming side. Because of some practical limitations in wireless systems such as feedback error, dynamic characteristics...
Bayesian approach for the spectrum sensing mimo-cognitive radio network with presence of the uncertainty
(University of Missouri--Columbia, 2021)
A cognitive radio technique has the ability to learn. This system not only can observe the surrounding environment, adapt to environmental conditions, but also efficiently use the radio spectrum. This technique allows the ...