Schiavone, Riccardo und Garello, Roberto und Liva, Gianluigi (2022) Application of List Viterbi Algorithms to Improve the Performance in Space Missions using Convolutional Codes. IEEE. 2022 9th International Workshop on Tracking, Telemetry and Command Systems for Space Applications (TTC), 2022-11-28 - 2022-12-01, Noordwijk, Netherlands. doi: 10.1109/TTC55771.2022.9975785. ISBN 978-1-6654-8780-1.
PDF
- Nur DLR-intern zugänglich
523kB |
Offizielle URL: https://ieeexplore.ieee.org/abstract/document/9975785
Kurzfassung
Currently, several space missions are still using convolutional codes, which are among the available coding options of the CCSDS telemetry recommendation. When convolutional codes are employed, the CCSDS specification mandates the use of an outer CRC code to perform error detection over the transfer frame. Alternatively, the CRC code may be used, together with list Viterbi decoding of the inner convolutional code, to significantly improve the performance of the coding scheme. In this paper, we first compute the distance spectrum of the concatenation of the outer CRC code and the inner convolutional codes recommended by the CCSDS. By means of a union bound on the block error probability under maximum-likelihood decoding, we estimate the extra coding gain achievable by the concatenation with respect to the use of the Viterbi algorithm applied to the decoding of the inner convolutional code only. The extra coding gain is close to 3 dB. Then, we consider the application of the list Viterbi algorithm and we discuss some techniques useful to reduce its complexity in practical implementations. Results show that it is possible to approach the 3 dB extra coding gain with negligible increase in the decoding complexity with respect to Viterbi decoding of the inner convolutional code.
elib-URL des Eintrags: | https://elib.dlr.de/209301/ | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | Application of List Viterbi Algorithms to Improve the Performance in Space Missions using Convolutional Codes | ||||||||||||||||
Autoren: |
| ||||||||||||||||
Datum: | 12 Dezember 2022 | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Nein | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
DOI: | 10.1109/TTC55771.2022.9975785 | ||||||||||||||||
Seitenbereich: | Seiten 1-8 | ||||||||||||||||
Verlag: | IEEE | ||||||||||||||||
ISBN: | 978-1-6654-8780-1 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Convolutional codes;Maximum likelihood estimation;Viterbi algorithm;Space missions;Encoding;Complexity theory;Telemetry;Channel codes;convolutional codes;CRC codes;list decoders;space communications | ||||||||||||||||
Veranstaltungstitel: | 2022 9th International Workshop on Tracking, Telemetry and Command Systems for Space Applications (TTC) | ||||||||||||||||
Veranstaltungsort: | Noordwijk, Netherlands | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 28 November 2022 | ||||||||||||||||
Veranstaltungsende: | 1 Dezember 2022 | ||||||||||||||||
Veranstalter : | European Space Agency | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||
HGF - Programmthema: | keine Zuordnung | ||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | R - keine Zuordnung | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - keine Zuordnung | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Kommunikation und Navigation > Satellitennetze | ||||||||||||||||
Hinterlegt von: | Schiavone, Riccardo | ||||||||||||||||
Hinterlegt am: | 29 Nov 2024 10:38 | ||||||||||||||||
Letzte Änderung: | 29 Nov 2024 10:38 |
Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags