Performance evaluation of a minimum bit error decoding algorithm of convolutional codes and its application
Performance evaluation of a minimum bit error decoding algorithm of convolutional codes and its application
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一种卷积码最小误码译码算法的性能评估及其应用
DOI：
10.1002/ecjc.4430760309
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发表时间：
1993
期刊：
影响因子：
--
通讯作者：
Y. Yasuda
中科院分区：
文献类型：
--
作者：
M. Ohashi;Y. Yasuda
研究了Bahl等人提出的最小误码译码（MBED）的基本译码特性。结果表明，MBED可以很好地预测每个译码位的误码率。然后将MBED应用于卷积/Reed-Solomon （RS）级联编码方案。外部RS码通过使用从内部卷积码的MBED结果提供的符号擦除信息进行擦除解码。仿真结果表明，总体误码率比传统的非擦除解码降低了1 / 2 ~ 1 / 3。
Basic decoding characteristics of a minimum bit error decoding (MBED), originally proposed by Bahl et al., is investigated. It is shown that MBED can predict the bit error rate of each decoded bit with good precision. Then MBED is applied to the convolutional/Reed-Solomon (RS) concatenated coding scheme. The outer RS codes are decoded by an erasure decoding using the symbol erasure information provided from the MBED results of inner convolutional codes. Simulation results show that the overall bit error rate is reduced one-half to one-third more than the conventional nonerasure decoding.