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作 者:胡岩 张为 王令宇 Hu Yan;Zhang Wei;Wang Lingyu(School of Microelectronics,Tianjin University,Tianjin 300072,China)
机构地区:[1]天津大学微电子学院
出 处:《南开大学学报(自然科学版)》2019年第5期38-41,48,共5页Acta Scientiarum Naturalium Universitatis Nankaiensis
基 金:国家自然科学基金(6147400)
摘 要:为了深入研究突发错误信道环境下的RS码译码算法,首先在RS(255,239)译码条件下对随机错误译码算法Reformulated inversionless Berlekamp-Massey(RiBM)与突发错误译码算法Reformulated inversionless Burst-error Correcting(RiBC)分别进行了仿真分析,得到了两种译码方式的误码率与连续错误比特长度的关系,并据此对突发错误的长度BL进行了界定.其次对该译码条件下的数字编码系统中的混合信道进行了研究,根据突发错误长度的界定对信道进行了建模,得到马尔科夫模型下的新型混合信道模型,最后在此模型下对RiBM随机错误译码、RiBC突发错误译码方法进行融合,并对融合译码算法进行了仿真.结果表明在新型混合信道环境中融合译码算法可降低传输误码率.In order to further study the RS decoding algorithm under burst error channel, the simulation of the random error decoding algorithm Reformulated inversionless Berlekamp Massey(RiBM) and the burst error decoding algorithm Reformulated inversionless burst error correction(RiBC) was carried separately under the condition of RS(255, 239). According to the relationship between bit error rate and the length of continuous erroneous bit, the length of burst error is defined as BL. Secondly, the novel Markov channel model was established according to the burst error length. Finally, the RiBM and RiBC were fused under the novel channel model. The fusional RiBM-RiBC decoding algorithm was simulated then and the results show that the new fusion decoding algorithm can decrease the error rate.
分 类 号:TN911.22[电子电信—通信与信息系统]
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