Symbol Flipping Decoding Algorithms Based on Prediction for Non-Binary LDPC Codes
This paper constructs an objective function for symbol flipping decoding algorithms, considering not only soft reliability, but also hard reliability. The maximization of this objective function indicates that the flipping metric should involve both the information before and after symbol flipping,...
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Published in | IEEE transactions on communications Vol. 65; no. 5; pp. 1913 - 1924 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.05.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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Summary: | This paper constructs an objective function for symbol flipping decoding algorithms, considering not only soft reliability, but also hard reliability. The maximization of this objective function indicates that the flipping metric should involve both the information before and after symbol flipping, while the existing algorithms consider the information before symbol flipping. Theoretical analysis shows that such prediction mechanism, together with hard reliability, can significantly improve the error performance of symbol flipping algorithms. Simulation results show that the proposed algorithms provide effective tradeoff between error performance and complexity for decoding non-binary LDPC codes. |
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ISSN: | 0090-6778 1558-0857 |
DOI: | 10.1109/TCOMM.2017.2677438 |