A Low Complexity Segmented Parity SC Flip Decoding Algorithm for Polar Codes

The Successive Cancellation decoder cannot provide satisfactory error correcting performance for finite length polar codes. The error performance can be improved by using Successive Cancellation Flip decoders at the expense of higher complexity. In line with this, a novel decoding approach has been developed in this paper, where distributed parity bits are used to divide the codeword into multiple segments having equal probability of error occurrence, allowing early termination. The proposed Segmented Parity Successive Cancellation Flip (SP-SC Flip) Decoder achieves lower normalized complexity and average decoding latency compared to some related existing decoders, without degrading the error correcting performance. Further improvement in decoder performance is observed when code words are divided into a greater number of segments.

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Published
2024-12-15
DOI
https://doi.org/10.1109/ants63515.2024.10898410
Primary Topic
Error Correcting Code Techniques
Type
article
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article

A Low Complexity Segmented Parity SC Flip Decoding Algorithm for Polar Codes

Dwaipayan Ghosh, S.R. Das, Sudipta Chattopadhyay, Ganesh Dutta et al.
Error Correcting Code Techniques
article

A Low Complexity Segmented Parity SC Flip Decoding Algorithm for Polar Codes

Dwaipayan Ghosh, S.R. Das, Sudipta Chattopadhyay, Ganesh Dutta, Lalita Das
article en

Abstract

The Successive Cancellation decoder cannot provide satisfactory error correcting performance for finite length polar codes. The error performance can be improved by using Successive Cancellation Flip decoders at the expense of higher complexity. In line with this, a novel decoding approach has been developed in this paper, where distributed parity bits are used to divide the codeword into multiple segments having equal probability of error occurrence, allowing early termination. The proposed Segmented Parity Successive Cancellation Flip (SP-SC Flip) Decoder achieves lower normalized complexity and average decoding latency compared to some related existing decoders, without degrading the error correcting performance. Further improvement in decoder performance is observed when code words are divided into a greater number of segments.

Jadavpur University (IN), University of Kalyani (IN)
Openalex Percentile: Top 67%
Error Correcting Code Techniques
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