Due to its parallel propagation property, the belief propagation (BP) polar decoding can achieve high throughput and has drawn increasing attention. However, the BP decoding is not comparable with the successive cancellation list (SCL) decoding in terms of the error correction performance. In this brief, two BP flip (BPF) decoding algorithms are proposed. Compared with the existing BPF decoding, the generalized BPF (GBPF) decoding identifies error-prone bits more efficiently with a redefinition of bit-flipping. Furthermore, the GBPF decoding is optimized by decreasing the searching range by half, leading to the enhanced BP flip (EBPF) decoding with reduced complexity and improved performance for 5G polar codes. The hardware architecture is provided and implemented using SMIC 65nm CMOS technology. The results show that, compared with the state-of-the-art SC flip decoders, the proposed EBPF decoder exhibits 30% throughput improvement under comparable error correction performance.

中文翻译：

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用于具有比特翻转的 5G 极性码的增强置信度传播解码器

由于其并行传播特性，置信传播（BP）极性解码可以实现高吞吐量并引起越来越多的关注。然而，BP解码在纠错性能方面无法与连续消除列表（SCL）解码相比。在这个简介中，提出了两种 BP 翻转 (BPF) 解码算法。与现有的 BPF 解码相比，广义 BPF (GBPF) 解码通过重新定义位翻转来更有效地识别易错位。此外，通过将搜索范围减少一半来优化 GBPF 解码，从而实现增强型 BP 翻转 (EBPF) 解码，降低复杂性并提高 5G 极性码的性能。硬件架构是使用中芯国际 65nm CMOS 技术提供和实现的。结果表明，