一种改进的BATS码信念传播译码方法

Juan Yang, Zhiping Shi, Dandi Yang, Chen-Xi Wang
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引用次数: 1

摘要

本文提出了一种改进的信念传播(BP)译码算法,用于BATS码的译码。在传统的BP解码中,BP解码器只有在秩等于批量有效矩阵的度时才对输入数据包进行解码。为了提高解码性能,我们提出的方案利用了一些数据包即使在秩小于度时也可以被解码的事实。我们在计算批排序的过程中对这些数据包进行解码,这样不会产生额外的计算开销。仿真结果表明,该方法的译码性能优于传统的BATS码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved Belief Propagation Decoding of BATS Codes
In this paper, we propose an improved belief propagation (BP) decoding algorithm for decoding BATS codes. In the traditional BP decoding, the BP decoder decodes the input packets only when the rank equals to the degree of the efficient matrix for a batch. For improving the decoding performance, our proposed scheme exploits the fact that some packets can be decoded even when the rank is smaller than the degree. We decode these packets in the process of calculating the rank of batch, which will not induce extra computational cost. The simulation results show that the decoding performance of our proposed method is better than the traditional BATS codes.
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