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Braided Convolution...
Braided Convolutional Self-orthogonal Codes with Double Sliding Window Decoding
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- Zhu, Min (author)
- Xidian University
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- Cummins, Andrew D. (author)
- New Mexico State University
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- Mitchell, David G.M. (author)
- New Mexico State University
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- Lentmaier, Michael (author)
- Lund University,Lunds universitet,Kommunikationsteknologi,Forskargrupper vid Lunds universitet,LTH profilområde: AI och digitalisering,LTH profilområden,Lunds Tekniska Högskola,Communications Engineering,Lund University Research Groups,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH
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- Costello, Daniel J. (author)
- University of Notre Dame
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(creator_code:org_t)
- 2023
- 2023
- English.
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In: 2023 12th International Symposium on Topics in Coding, ISTC 2023. - 9798350326116
- Related links:
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http://dx.doi.org/10...
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Abstract
Subject headings
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- In this paper, we investigate a class of braided convolutional codes (BCCs), where the component codes are convolutional self-orthogonal codes (CSOCs), called braided convolutional self-orthogonal codes. Compared to conventional BCCs, the advantages of braided CSOCs include the availability of several low-complexity decoding methods and the relative ease of extending these methods to high rates More specifically, to construct high-rate braided codes, it is necessary to use higher-rate component codes, which results in exponentially higher decoding complexity with conventional BCJR decoding, whereas the complexity of the CSOC decoding methods proposed here grows only linearly with rate. In particular, we introduce a double sliding window decoding method based on belief propagation (BP) for braided CSOCs, which exhibits good performance while maintaining low-complexity decoding for the higher rates required in many applications.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
Keyword
- Braided convolutional codes
- convolutional self-orthogonal codes
- sliding window decoding
- threshold decoding
Publication and Content Type
- kon (subject category)
- ref (subject category)
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