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dc.contributor.authorWilson, Michael J.
dc.date.accessioned2016-04-11T20:50:51Zen
dc.date.available2016-04-11T20:50:51Zen
dc.date.issued2004-10en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/605064en
dc.descriptionInternational Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, Californiaen_US
dc.description.abstractMultiple receiver telemetry systems are common in the aeroballistics test and evaluation community. These systems typically record telemetry data independently, requiring post-flight data processing to produce the most accurate combination of the available data. This paper addresses the issues of time synchronization between multiple data sources and determination of the best choice for each data word. Additional filtering is also developed for the case when all available data are corrupted. The performance of the proposed algorithms is presented.
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © International Foundation for Telemeteringen
dc.subjectMerging Telemetry Dataen
dc.subjectTelemetry Data Processingen
dc.subjectMultiple Receiversen
dc.titleMERGING TELEMETRY DATA FROM MULTIPLE RECEIVERSen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentUS Army Research Laboratoryen
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.dateFOA2018-09-11T08:41:35Z
html.description.abstractMultiple receiver telemetry systems are common in the aeroballistics test and evaluation community. These systems typically record telemetry data independently, requiring post-flight data processing to produce the most accurate combination of the available data. This paper addresses the issues of time synchronization between multiple data sources and determination of the best choice for each data word. Additional filtering is also developed for the case when all available data are corrupted. The performance of the proposed algorithms is presented.


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