A Spectrally Efficient Communication System: A 16-PSK Trellis Coded Modulation System Utilizing a Quantized Euclidean Decoder

Persistent Link:
http://hdl.handle.net/10150/614671
Title:
A Spectrally Efficient Communication System: A 16-PSK Trellis Coded Modulation System Utilizing a Quantized Euclidean Decoder
Author:
Carden, Frank; Ross, Mike
Affiliation:
New Mexico State University
Issue Date:
1989-11
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:
Quantization of signal set vectors [1,2] could reduce the processing time required to apply the maximum likelihood decoding algorithm of Viterbi [3], to data encoded by a trellis coded modulation (TCM) scheme of the kind proposed by Ungerboeck [4]. Simulations have been performed to determine the effect of different degrees of circular quantization on TCM, using 8-PSK and 16-PSK signal sets, combined with a four state convolutional code. It was found that circular quantization produces good results when 2 or 3 quantization points are placed between signal set vectors.
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.titleA Spectrally Efficient Communication System: A 16-PSK Trellis Coded Modulation System Utilizing a Quantized Euclidean Decoderen_US
dc.contributor.authorCarden, Franken
dc.contributor.authorRoss, Mikeen
dc.contributor.departmentNew Mexico State Universityen
dc.date.issued1989-11-
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.abstractQuantization of signal set vectors [1,2] could reduce the processing time required to apply the maximum likelihood decoding algorithm of Viterbi [3], to data encoded by a trellis coded modulation (TCM) scheme of the kind proposed by Ungerboeck [4]. Simulations have been performed to determine the effect of different degrees of circular quantization on TCM, using 8-PSK and 16-PSK signal sets, combined with a four state convolutional code. It was found that circular quantization produces good results when 2 or 3 quantization points are placed between signal set vectors.en
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123-
dc.identifier.issn0074-9079-
dc.identifier.urihttp://hdl.handle.net/10150/614671-
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
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