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dc.contributor.authorLumb, D. R.
dc.contributor.authorViterbi, A. J.
dc.date.accessioned2016-04-25T16:46:02Zen
dc.date.available2016-04-25T16:46:02Zen
dc.date.issued1971-09en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/607020en
dc.descriptionInternational Telemetering Conference Proceedings / September 27-29, 1971 / Washington Hilton Hotel, Washington, D.C.en_US
dc.description.abstractThis paper summarizes a study of coding systems for high data rates with potential application to the space station telemetry links. Among the approaches considered were convolutional codes with sequential, Viterbi and cascaded Viterbi decoding. It was concluded that a high-speed (.40 Mbps) sequential decoding system best satisfies the requirements for the assumed growth potential and specified constraints. Trade-off studies leading to this conclusion will be reviewed. Some sequential (Fano) algorithm improvements will be discussed as well as real-time simulation results.
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.titleHigh Data Rate Coding for the Space Station Telemetry Linksen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentNASAen
dc.contributor.departmentLinkabit Corp.en
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.dateFOA2018-09-11T09:34:26Z
html.description.abstractThis paper summarizes a study of coding systems for high data rates with potential application to the space station telemetry links. Among the approaches considered were convolutional codes with sequential, Viterbi and cascaded Viterbi decoding. It was concluded that a high-speed (.40 Mbps) sequential decoding system best satisfies the requirements for the assumed growth potential and specified constraints. Trade-off studies leading to this conclusion will be reviewed. Some sequential (Fano) algorithm improvements will be discussed as well as real-time simulation results.


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