基于信念传播的极坐标码估计解码器

H. Prasad, M. Samson, J. Jebanazer
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引用次数: 0

摘要

极性码以容量获取能力、低编码和解码复杂性而闻名。两极码的译码方法主要有连续消去译码(SCD)和信念传播译码(BPD)。由于串行输入类型,SCD有延迟问题。对于软延迟应用程序,由于并行类型,BPD更加可取。能量耗散和延迟随重复次数的增加而增加。本文将并行自定时加法器(PASTA)用于近似信念传播解码器,并使用Xilinx工具选择Spartan3E系列的XC3S250E器件实现。与其他类型的解码器相比,这种解码器实现了延迟的减少。仿真结果表明,所提出的信念传播解码器对极化码的时延提高了13.74%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimated Decoder for Polar Codes Based on Belief Propagation
Polar codes are known for capacity-attaining capability, low encoding, and decoding intricacy. The two well-known approaches for decoding polar codes are Successive Cancellation Decoding (SCD) and Belief Propagation Decoding (BPD). SCD is having latency problems due to serial in type. For soft latency applications, BPD is further desirable due to parallel type. The energy-dissipation and latency enhance in proportion with a number of repetitions. In this paper, we used parallel self-timed adder (PASTA) in approximate belief propagation decoder and implemented using Xilinx tool selecting device XC3S250E of Spartan3E family. In comparison with other types, this decoder achieves a reduction in delay. Simulation outcomes reveal that the proposed belief propagation decoder for polar codes achieved 13.74% improvement in delay.
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