Parity Check Aided SC-Flip Decoding Algorithms for Polar Codes

When polar codes are decoded by the successive cancellation (SC) decoding algorithm, erroneously decoded non-frozen bits are caused by either channel noise or error propagation. SC-Flip algorithms aim to improve error performance by first identifying erroneous hard decisions due to channel noise and...

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Veröffentlicht in:IEEE transactions on vehicular technology Jg. 70; H. 10; S. 10359 - 10368
Hauptverfasser: Dai, Bin, Gao, Chenyu, Yan, Zhiyuan, Liu, Rongke
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.10.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Channel noise
Complexity
Complexity theory
Decisions
Decoders
Decoding
Error reduction
Measurement
Noise propagation
Parity
parity check
Parity check codes
Polar codes
Redundancy
Reliability
SC-Flip decoding
Signal to noise ratio
successive cancellation decoding
ISSN:0018-9545, 1939-9359
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Zusammenfassung:When polar codes are decoded by the successive cancellation (SC) decoding algorithm, erroneously decoded non-frozen bits are caused by either channel noise or error propagation. SC-Flip algorithms aim to improve error performance by first identifying erroneous hard decisions due to channel noise and then flipping them during the decoding process to reduce error propagation. In existing SC-Flip algorithms, cyclic redundancy check (CRC) is used to check the decoded codeword to detect incorrect hard decisions. Differing from this detection approach based on CRC, we propose new SC-Flip decoders that take advantage of both the CRC and distributed parity checks (PCs) to detect, identify and flip erroneously decoded non-frozen bits. The proposed decoders terminate SC decoding early when a distributed PC is not satisfied. In addition, we propose a new metric to help locate the incorrect hard decisions. Finally, simulation results demonstrate that our SC-Flip decoders achieve better performance complexity tradeoffs than prior flipping algorithms, and approach the performance and complexity of the SC-Oracle algorithms.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2021.3106349