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Moe Z. Win. Teague, Bryan (Bryan Andrew) Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics 2017-12-05T19:14:44Z 2017-12-05T19:14:44Z 2017 2017 http://hdl.handle.net/1721.1/112481 1011358388 Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 69-73). This thesis introduces the Peregrine system, the first known real-time cooperative 3D wireless localization network. The Peregrine system comprises two major components: a hardware testbed; and a suite of distributed real-time algorithms to solve the highly interrelated problems of Node Prioritization, Node Activation, and Node Localization. Each node in the hardware testbed is a low-cost business card-sized device, made up of a microprocessor, a commercially available ultra-wideband (UWB) radio, and a small battery for portability. The algorithmic portion of the Peregrine system leverages recent research in the area of wireless network localization (WNL). Node Prioritization selects the best neighbor nodes for localization by solving a convex optimization problem that uses the squared position error bound (SPEB) as an objective function. Node Activation controls channel access through the calculation of a optimal binary activation probability. Node Localization is developed in the context of a globally optimum Bayesian estimation problem and solved by means of the sigma point belief propagation (SPBP) algorithm. SPBP calculates accurate position estimates from UWB range measurements by enabling spatial and temporal cooperation. The overall system performance and the impact of each algorithmic component is validated through indoor localization experiments. The results confirm that Peregrine is reliable and scalable while maintaining decimeter level position accuracy indoors. by Bryan Teague. S.M. 73 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 Aeronautics and Astronautics. Scalable network localization Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="e265142a-4065-4370-bc6c-31dd42b983f3"> <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>Scalable network localization</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2017</PublicationDate> <Authors> <Author> <DisplayName>Teague, Bryan (Bryan Andrew)</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>Aeronautics and Astronautics.</Keyword> <Abstract>This thesis introduces the Peregrine system, the first known real-time cooperative 3D wireless localization network. The Peregrine system comprises two major components: a hardware testbed; and a suite of distributed real-time algorithms to solve the highly interrelated problems of Node Prioritization, Node Activation, and Node Localization. Each node in the hardware testbed is a low-cost business card-sized device, made up of a microprocessor, a commercially available ultra-wideband (UWB) radio, and a small battery for portability. The algorithmic portion of the Peregrine system leverages recent research in the area of wireless network localization (WNL). Node Prioritization selects the best neighbor nodes for localization by solving a convex optimization problem that uses the squared position error bound (SPEB) as an objective function. Node Activation controls channel access through the calculation of a optimal binary activation probability. Node Localization is developed in the context of a globally optimum Bayesian estimation problem and solved by means of the sigma point belief propagation (SPBP) algorithm. SPBP calculates accurate position estimates from UWB range measurements by enabling spatial and temporal cooperation. The overall system performance and the impact of each algorithmic component is validated through indoor localization experiments. The results confirm that Peregrine is reliable and scalable while maintaining decimeter level position accuracy indoors.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>