论文部分内容阅读
随机译码算法因实现电路简单,被广泛应用于LDPC码全并行译码架构。介绍几种随机译码架构,简化基于MTFM(Majority-based Tracking Forecast Memories)的随机译码架构,将MTFM架构中的加法器改为简单的与门电路,进一步降低了资源消耗。同时,针对CCSDS标准(8176,7154)LDPC码进行性能仿真分析,表明基于MTFM的随机译码算法与最小和译码算法相比,只有0.2 dB的损失。此外,对改进前后的MTFM架构进行资源消耗比较,结果显示每个变量节点改进后比改进前资源相比少了一个slice,且当码长很长时,改进方案的资源消耗大幅降低。
Due to the implementation of random decoding algorithm is simple, is widely used in LDPC code parallel decoding architecture. Introduce several kinds of stochastic decoding framework, simplify the random decoding framework based on MTFM (Majority-based Tracking Forecast Memories), change the adder in the MTFM framework to a simple AND circuit, further reduce the resource consumption. At the same time, performance simulation analysis of CCSDS standard (8176,7154) LDPC codes shows that the MTFM-based random decoding algorithm has only 0.2 dB loss compared with the minimum decoding algorithm. In addition, comparing the resource consumption of the improved MTFM architecture before and after the improvement, the results show that each variable node has a slice less than the pre-improvement resources, and the resource consumption of the improved solution is greatly reduced when the code length is very long.