Abstract | ||
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Belief propagation (BP) decoding has natural advantages in throughput for polar codes to meet high-speed and low-latency requirements. The soft outputs of BP decoding can be utilized further for joint detection and decoding in the baseband communication system. However, its error-correction performance is not comparable with the successive cancellation list (SCL) decoding. Belief propagation flip (BPF) decoding is recently proposed to improve the error-correction performance of BP decoding and indicates the potential to compete with SCL decoding. In this paper, we propose an advanced BPF (A-BPF) scheme that reduces the decoding latency with the help of one critical bit and improves the error-correction performance by the proposed joint detection criterion. To improve area efficiency in the hardware level, an optimized sorting network is proposed and applied for the A-BPF decoder. The decoder is implemented on 65 nm CMOS technology for length-1024 and rate-1/2 polar codes, and the results show that the proposed decoder can achieve a close frame error rate performance to the SCL decoder with four lists and deliver a throughput of 5.17 Gb/s at E
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Year | DOI | Venue |
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2021 | 10.1109/TCSI.2020.3042597 | IEEE Transactions on Circuits and Systems I: Regular Papers |
Keywords | DocType | Volume |
Polar codes,belief propagation (BP) decoding,bit-flipping,hardware implementation | Journal | 68 |
Issue | ISSN | Citations |
3 | 1549-8328 | 1 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Houren Ji | 1 | 7 | 1.86 |
Yifei Shen | 2 | 15 | 5.36 |
Wenqing Song | 3 | 15 | 3.35 |
Zaichen Zhang | 4 | 134 | 20.67 |
xiaohu you | 5 | 2529 | 272.49 |
Chuan Zhang | 6 | 100 | 13.67 |