Persistent Link:
http://hdl.handle.net/10150/609361
Title:
Predicting Performance of Convolutional Coded Communication Systems
Author:
Huth, G. K.
Affiliation:
Axiomatix
Issue Date:
1976-09
Rights:
Copyright © International Foundation for Telemetering
Collection Information:
Proceedings 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.
Publisher:
International Foundation for Telemetering
Journal:
International Telemetering Conference Proceedings
Abstract:
The probability of error for a convolutional coded communication system can be predicted using three approaches. The first approach is using Gallager's [1] exponential bound for random codes. The second technique is the use of transfer function union bounds developed by Viterbi [2]. Finally, an approximation to the transfer function developed by Huth and Weber [3] can be used. This paper compares the three approaches for predicting performance and presents results for Viterbi decoding bit error probability, burst error probability, and decoder memory length.
Sponsors:
International Foundation for Telemetering
ISSN:
0884-5123; 0074-9079
Additional Links:
http://www.telemetry.org/

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titlePredicting Performance of Convolutional Coded Communication Systemsen_US
dc.contributor.authorHuth, G. K.en
dc.contributor.departmentAxiomatixen
dc.date.issued1976-09en
dc.rightsCopyright © International Foundation for Telemeteringen
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
dc.publisherInternational Foundation for Telemeteringen
dc.description.abstractThe probability of error for a convolutional coded communication system can be predicted using three approaches. The first approach is using Gallager's [1] exponential bound for random codes. The second technique is the use of transfer function union bounds developed by Viterbi [2]. Finally, an approximation to the transfer function developed by Huth and Weber [3] can be used. This paper compares the three approaches for predicting performance and presents results for Viterbi decoding bit error probability, burst error probability, and decoder memory length.en
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/609361en
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
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