An Area-Efficient FPGA-Based Architecture for Fully-Parallel Stochastic LDPC Decoding

S. Tehrani, Shie Mannor, W. Gross
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引用次数: 47

Abstract

Stochastic decoding is a new alternative method for low complexity decoding of error-correcting codes. This paper presents the first hardware architecture for stochastic decoding of practical Low-Density Parity-Check (LDPC) codes on factor graphs. The proposed architecture makes fully-parallel decoding of (long) state-of-the-art LDPC codes viable on FP-GAs. Implementation results for a (1024, 512) fully-parallel LDPC decoder shows an area requirement of about 36% of a Xilinx Virtex-4 XC4VLX200 device and a throughput of 706 Mbps at a bit-error-rate of about 1-6 with performance loss0 of about 0.1 dB, with respect to the nearly ideal floating-point sum-product algorithm with 32 iterations.
基于fpga的全并行随机LDPC译码结构
随机译码是纠错码低复杂度译码的一种新的替代方法。本文提出了在因子图上随机解码实用低密度奇偶校验(LDPC)码的第一个硬件结构。所提出的架构使得(长)最先进的LDPC码的完全并行解码在FP-GAs上可行。一个(1024,512)全并行LDPC解码器的实现结果显示,与近乎理想的32次迭代浮点和积算法相比,Xilinx Virtex-4 XC4VLX200设备的面积需求约为36%,误码率约为1-6,性能损失约为0.1 dB,吞吐量为706 Mbps。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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