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Dina Katabi and Raoul Ouedraodo. Pantazis, George, M. Eng. Massachusetts Institute of Technology Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 2018-05-17T19:07:23Z 2018-05-17T19:07:23Z 2015 http://hdl.handle.net/1721.1/115460 1035419164 Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, June 2015. "May 2010." Cataloged from PDF version of thesis. Includes bibliographical references (pages 72-76). This thesis forms part of a larger effort at MIT Lincoln Laboratory to develop a micro-UAV based platform, capable of detecting survivors through rubble, under the funding of the New Technology Initiative (NTI) program. In support of this goal the thesis makes three distinct contributions. First, the operating environment of a disaster scenario is characterized. To do so, the electrical properties of different residential construction materials are determined and an analytical model for the behavior of a radar operating in this environment is developed. Second, preliminary efforts were made towards the miniaturization of the radar back-end by designing circuitry that generates the transmit waveform. Additionally an analog filter was developed to attenuate unwanted signals on the receive end. Lastly metaheuristic topology optimization was applied towards the design of antennas for the radar front-end. A novel, algorithmic extension to an established metaheuristic algorithm is demonstrated and tested. Additionally a new antenna parametrization based on Bezier curves is developed and evaluated against the established pixel-based parametrization. by George Pantazis. M.Eng. 100 pages eng Massachusetts Institute of Technology MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 Electrical Engineering and Computer Science. Design and testing of a UAV-based, through-rubble vital sign detection RADAR using metaheuristic topology optimization Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="787fb608-1d69-4bdd-a461-7823202bee21"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Design and testing of a UAV-based, through-rubble vital sign detection RADAR using metaheuristic topology optimization</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2015</PublicationDate> <Authors> <Author> <DisplayName>Pantazis, George, M. Eng. Massachusetts Institute of Technology</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Electrical Engineering and Computer Science.</Keyword> <Abstract>This thesis forms part of a larger effort at MIT Lincoln Laboratory to develop a micro-UAV based platform, capable of detecting survivors through rubble, under the funding of the New Technology Initiative (NTI) program. In support of this goal the thesis makes three distinct contributions. First, the operating environment of a disaster scenario is characterized. To do so, the electrical properties of different residential construction materials are determined and an analytical model for the behavior of a radar operating in this environment is developed. Second, preliminary efforts were made towards the miniaturization of the radar back-end by designing circuitry that generates the transmit waveform. Additionally an analog filter was developed to attenuate unwanted signals on the receive end. Lastly metaheuristic topology optimization was applied towards the design of antennas for the radar front-end. A novel, algorithmic extension to an established metaheuristic algorithm is demonstrated and tested. Additionally a new antenna parametrization based on Bezier curves is developed and evaluated against the established pixel-based parametrization.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>