Performance Improvement of Space Missions Using Convolutional Codes by CRC-Aided List Viterbi Algorithms
Author:
Affiliation:
1. Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy
2. German Aerospace Center (DLR), Institute of Communications and Navigation, Wessling, Germany
Funder
European Union under the Italian National Recovery and Resilience Plan (NRRP) of NextGenerationEU, partnership on “Telecommunications of the Future” through the Program “RESTART”
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10144770.pdf?arnumber=10144770
Reference34 articles.
1. An Efficient Algorithm for Designing Optimal CRCs for Tail-Biting Convolutional Codes
2. List-Decoded Tail-Biting Convolutional Codes with Distance-Spectrum Optimal CRCS for 5G
3. Next generation earth-to-space telecommand coding and synchronization: ground system design, optimization and software implementation
4. High-Rate Convolutional Codes with CRC-Aided List Decoding for Short Blocklengths
5. Channel coding for massive IoT satellite systems;schiavone,2021
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