Title:
Scattering and Optimization Methods for Radar and Millimeter Wave Applications

dc.contributor.advisor Swaminathan, Madhavan
dc.contributor.author Huang, Eric
dc.contributor.committeeMember Romberg, Justin
dc.contributor.committeeMember Mukhopadhyay, Saibal
dc.contributor.committeeMember Peterson, Andrew F.
dc.contributor.committeeMember Sitaraman, Suresh K.
dc.contributor.department Electrical and Computer Engineering
dc.date.accessioned 2023-01-10T16:24:41Z
dc.date.available 2023-01-10T16:24:41Z
dc.date.created 2022-12
dc.date.issued 2022-12-06
dc.date.submitted December 2022
dc.date.updated 2023-01-10T16:24:41Z
dc.description.abstract Analysis of EM waves from both the scattering model and hardware sides has grown exponentially since the requirements of electrical devices have become stricter in order to serve various applications. High performance computing based EM emulators are used to simulate real-time complex EM wave interactions between multiple radar targets, transmitters, and receivers. The RCS of the radar targets are required to be stored as a table; however, the needed storage size increases dramatically with the angle and frequency sampling density. We present innovative approaches of constructing concise anisotropic point scatterer models that the emulators can use as part of the computations. Another arising application of EM analysis is the microwave design. Bayesian Optimization is a machine learning based method that enables fast convergence toward a global optimum. A general problem with this method is the low dimensionality of the problem that needs to be addressed which is contrary to microwave design that often requires many parameters to be optimized with precision. We propose and apply a high dimensional Bayesian Optimization to two emerging system designs, namely the beamforming antenna in package design for wireless communication and the wireless power transfer for IoT.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/70154
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Radar
dc.subject RCS
dc.subject High performance computing
dc.subject Point scatterer mode
dc.subject Microwave design
dc.subject Optimization
dc.title Scattering and Optimization Methods for Radar and Millimeter Wave Applications
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Swaminathan, Madhavan
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 974f4642-b132-43e2-9ca6-c40e8af82f93
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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