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dc.contributor.authorWu, Mei-Su
dc.contributor.authorLee, Hua
dc.date.accessioned2016-02-05T16:25:12Zen
dc.date.available2016-02-05T16:25:12Zen
dc.date.issued2011-10en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/595745en
dc.descriptionITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevadaen_US
dc.description.abstractThis paper presents the remote detection and geolocation of breathing targets, for the purpose of effective search and rescue. The key objective is to detect and locate micro oscillatory movement through high-performance sensing, such that breathing targets can be clearly identified from the stationary background image. The presentation of this paper includes theoretical analysis, structure of the imaging formation algorithm and data-acquisition hardware, and full-scale field experiments.
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemeteringen
dc.titleRemote Detection and Geolocation of Breathing Subjects by High-Performance FMCW MIMO Microwave Imaging Systemen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentUniversity of California, Santa Barbaraen
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en
refterms.dateFOA2018-09-11T04:19:35Z
html.description.abstractThis paper presents the remote detection and geolocation of breathing targets, for the purpose of effective search and rescue. The key objective is to detect and locate micro oscillatory movement through high-performance sensing, such that breathing targets can be clearly identified from the stationary background image. The presentation of this paper includes theoretical analysis, structure of the imaging formation algorithm and data-acquisition hardware, and full-scale field experiments.


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