Real-time adaptive circuitry to support simultaneous radar and communications.

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dc.contributor.advisorMarks, Robert J., II (Robert Jackson), 1950-
dc.creatorHaug, Samuel, 1998-
dc.date.accessioned2024-07-30T12:43:32Z
dc.date.available2024-07-30T12:43:32Z
dc.date.created2023-12
dc.date.issued2023-12
dc.date.submittedDecember 2023
dc.date.updated2024-07-30T12:43:32Z
dc.description.abstractAs more radar and wireless communication systems access the electromagnetic spectrum, interference becomes more common. This interference can lead to reduced performance for the involved systems, meaning dropped calls and missed radar detections. To help mitigate this spectral congestion, this work presents technological innovations to increase spectral efficiency and mobility for radio frequency (RF) systems. Directional modulation (DM) allows an array to perform simultaneous radar and communication operations from the same aperture at the same frequency and time, increasing spectral efficiency. In this work, a novel optimization technique – dilated projections onto convex sets (D-POCS) – is proposed which can increase the versatility and flexibility of DM. D-POCS is also shown to be a generalization of the widely studied convex optimization. In addition, a fully reconfigurable array topology and optimization methodology is presented which can enable spectral mobility while maximizing array performance through live impedance tuning and signal equalization. This methodology is demonstrated in simulation with a linear sixteen element array, but it is easily scalable to larger and multidimensional arrays.
dc.format.mimetypeapplication/pdf
dc.identifier.uri
dc.identifier.urihttps://hdl.handle.net/2104/12868
dc.language.isoEnglish
dc.rights.accessrightsNo access – contact librarywebmaster@baylor.edu
dc.titleReal-time adaptive circuitry to support simultaneous radar and communications.
dc.typeThesis
dc.type.materialtext
local.embargo.lift2028-12-01
local.embargo.terms2028-12-01
thesis.degree.departmentBaylor University. Dept. of Electrical & Computer Engineering.
thesis.degree.grantorBaylor University
thesis.degree.namePh.D.
thesis.degree.programElectrical & Computer Engineering
thesis.degree.schoolBaylor University

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