Error-Trellis Construction for Convolutional Codes Using Shifted Error/Syndrome-Subsequences
Error-Trellis Construction for Convolutional Codes Using Shifted Error/Syndrome-Subsequences
复制标题
使用移位误差/校正子序列构建卷积码的误差网格
DOI：
10.1587/transfun.e92.a.2086
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
T. Miyagoshi
中科院分区：
文献类型：
--
作者：
M. Tajima;K. Okino;T. Miyagoshi
在本文中，我们将卷积码的传统错误格构法推广到给定校验矩阵H（D）在某列（行）中具有因子D1的情况。在第一种情况下，有可能使用移位的错误子序列来减小状态空间的大小，而在第二种情况下，可以使用移位的综合症子序列来减小状态空间的大小。本文提出的构造是基于相应的伴随式形式HT（D）的伴随-明显实现。在H（D）的所有列和行都是无延迟的情况下，该构造被简化为Schalkwijk等人的传统构造，并证明了该构造同样可以实现Ariel等人的状态空间简化，同时通过实例说明了它们的构造与我们的构造之间的区别.
In this paper, we extend the conventional error-trellis construction for convolutional codes to the case where a given check matrix H(D) has a factor Dl in some column (row). In the first case, there is a possibility that the size of the state space can be reduced using shifted error-subsequences, whereas in the second case, the size of the state space can be reduced using shifted syndrome-subsequences. The construction presented in this paper is based on the adjoint-obvious realization of the corresponding syndrome former HT(D). In the case where all the columns and rows of H(D) are delay free, the proposed construction is reduced to the conventional one of Schalkwijk et al. We also show that the proposed construction can equally realize the state-space reduction shown by Ariel et al. Moreover, we clarify the difference between their construction and that of ours using examples.
DOI：
10.1093/ietfec/e90-a.11.2629
发表时间：
2007-11
期刊：
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
影响因子：
--
作者：
M. Tajima;K. Okino;T. Miyagoshi
通讯作者：
M. Tajima;K. Okino;T. Miyagoshi