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为研究低密度奇偶校验(LDPC)码在采用不同译码算法时的误码平台特性,利用硬件仿真系统实际测试数据,对LDPC码采用不同迭代译码算法的误码平台特性进行统计分析。分析结果表明:LDPC码采用和积(SP)算法或修正最小和(MMS)算法译码失败后,残留错误比特数目一般很小;因此,LDPC码可作为级联码的内码,实现极低的误比特率。与MMS算法相比,SP算法译码后错误码字中的残留错误比特通常更少,更适合级联码。基于上述分析设计的级联码可以在较低的门限下实现低于10-10的误码率。
In order to study the characteristics of the error code platform when using different decoding algorithms for low density parity check (LDPC) codes, the actual test data of the hardware simulation system is used to analyze the error characteristics of LDPC codes using different iterative decoding algorithms. The results show that the number of residual error bits after LDPC code is unsuccessfully decoded by the sum-product (SP) algorithm or the MMSE algorithm; therefore, the LDPC code can be used as the inner code of the concatenated code to achieve very low Bit error rate. Compared with the MMS algorithm, the residual error bits in the decoded error code of the SP algorithm are usually less, which is more suitable for the concatenated code. The concatenated code designed based on the above analysis can achieve bit error rates lower than 10-10 at lower thresholds.