基于稀疏校验的DVB-S2标准LDPC码快速识别

摘要

针对DVB-S2(Digital Video Broadcasting-Satellite 2)标准低密度奇偶校验(LDPC)码的识别问题,提出了基于稀疏校验的快速识别方法.基于LDPC码编码矩阵的稀疏性,只有少量校验位和信息位有校验关系,因此只需要对少量的信息位进行校验即可.遍历不同的生成矩阵,并对多个码字的校验结果进行累积,通过对其校验累积量的分布特点实现不同码率LDPC码的识别.由于只采用了很少的信息位进行校验,因此算法计算量小,同时可以有效减少误码带来的影响.仿真结果表明所提算法有效且可以适应15%以上的误码,完全可以满足实际系统对LDPC码的检测需求.%For the recognition of Digital Video Broadcasting-Satellite 2(DVB-S2) Low-Density Parity–Check( LDPC) codes,a fast recognition algorithm based on sparse check is proposed. Based on the sparse coding matrix,only a few of check codes and information codes have check relations,so the algorithm only needs a few codes. Different coding matrixes are traversed,and the cumulant of the check result is calculat-ed. The LDPC codes can be recognized according to the distribution characteristics of the cumulant. Be-cause only a few codes are needed,the algorithm has less amount of calculation,and can overcome the im-pact of error codes. Simulation result proves the effectiveness of the algorithm with tolerance of above 15% error codes and it can fully meet the detection requirements of the actual system on LDPC codes.