On the Simulation Performance of FEC SOQPSK-TG Systems with Symbol by Symbol and SOVA Decoding Methods

Persistent Link:
http://hdl.handle.net/10150/595638
Title:
On the Simulation Performance of FEC SOQPSK-TG Systems with Symbol by Symbol and SOVA Decoding Methods
Author:
Hou, Wenshuai
Affiliation:
University of Kansas
Issue Date:
2011-10
Rights:
Copyright © held by the author; distribution rights 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:
A number of encoding and decoding methods for SOQPSK-TG are evaluated with their simulation performance under additive white Gaussian noise (AWGN) channel. The two forward error correction (FEC) codes are serial concatenated convolutional code (SCCC) and low-density parity-check code (LDPC). Two decoding methods are applied: soft-output Viterbi algorithm (SOVA) and symbol by symbol (SxS) detection. Pulse amplitude modulation (PAM) and pulse truncation (PT) filters are designed for SOVA decoding, and numerically optimum (NO) and integrate and dump (I&D) filters are employed for the SxS methods. We discuss the performance of these schemes by comparing and analyzing their Matlab simulation. The LDPC and SOVA with PAM filter outperforms over all the other combinations. We also use timing and phase recovery with various loop bandwidths. The system structures and the synchronization technique are discussed in this paper.
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.titleOn the Simulation Performance of FEC SOQPSK-TG Systems with Symbol by Symbol and SOVA Decoding Methodsen_US
dc.contributor.authorHou, Wenshuaien
dc.contributor.departmentUniversity of Kansasen
dc.date.issued2011-10en
dc.rightsCopyright © held by the author; distribution rights 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.abstractA number of encoding and decoding methods for SOQPSK-TG are evaluated with their simulation performance under additive white Gaussian noise (AWGN) channel. The two forward error correction (FEC) codes are serial concatenated convolutional code (SCCC) and low-density parity-check code (LDPC). Two decoding methods are applied: soft-output Viterbi algorithm (SOVA) and symbol by symbol (SxS) detection. Pulse amplitude modulation (PAM) and pulse truncation (PT) filters are designed for SOVA decoding, and numerically optimum (NO) and integrate and dump (I&D) filters are employed for the SxS methods. We discuss the performance of these schemes by comparing and analyzing their Matlab simulation. The LDPC and SOVA with PAM filter outperforms over all the other combinations. We also use timing and phase recovery with various loop bandwidths. The system structures and the synchronization technique are discussed in this paper.en
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/595638en
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
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