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Construction of Binary LDPC Convolutional Codes Based on Finite Fields

机译:基于有限域的二进制LDPC卷积码的构造

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摘要

Using a finite field approach, a novel algebraic construction of low-density parity-check (LDPC) convolutional codes with fast encoding property is proposed. According to the matrices of quasi-cyclic (QC) codes constructed based on the multiplicative groups of finite fields and the algebraic property that a binary circulant matrix is isomorphic to a finite ring, we first generate a polynomial-form parity-check matrix of an LDPC convolutional code under a given rate over a given finite field. Then some related modifications are made upon the original polynomial-form matrix to obtain the new one with fast encoding property. Simulation results show that the proposed LDPC convolutional codes have good performance with the iterative belief propagation decoding algorithm.
机译:利用有限域方法,提出了一种具有快速编码特性的低密度奇偶校验(LDPC)卷积码的新型代数构造。根据基于有限域的乘法组构造的准循环(QC)码的矩阵,以及二元循环矩阵与有限环同构的代数性质,我们首先生成一个多项式形式的奇偶校验矩阵在给定有限域上以给定速率的LDPC卷积码。然后对原始的多项式形式矩阵进行一些相关的修改,以获得具有快速编码特性的新矩阵。仿真结果表明,所提出的LDPC卷积码在迭代置信传播解码算法中具有良好的性能。

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