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Constructing LDPC Codes with Any Desired Girth

机译:用任何所需的周长构建LDPC码

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摘要

In wireless sensor networks, the reliability of communication can be greatly improved by applying low-density parity-check (LDPC) codes. Algorithms based on progressive-edge-growth (PEG) pattern and quasi-cyclic (QC) pattern are the mainstream approaches to constructing LDPC codes with good performance. However, these algorithms are not guaranteed to remove all short cycles to achieve the desired girth, and their excellent inputs are difficult to obtain. Herein, we propose an algorithm, which must be able to construct LDPC codes with the girth desired. In addition, the optimal input to the proposed algorithm is easy to find. Theoretical and experimental evidence of this study shows that the LDPC codes we construct have better decoding performance and less power consumption than the PEG-based and QC-based codes.
机译:在无线传感器网络中,通过应用低密度奇偶校验(LDPC)代码,可以大大提高通信的可靠性。基于渐进边缘生长(PEG)模式和准循环(QC)模式的算法是主流方法,用于构建具有良好性能的LDPC码。然而,这些算法不保证去除所有短期循环以达到所需的周长,并且难以获得它们的优异输入。这里,我们提出了一种算法,该算法必须能够用所需的环形构建LDPC码。此外,对所提出的算法的最佳输入很容易找到。本研究的理论和实验证据表明,我们构建的LDPC代码具有比基于PEG和基于QC的代码更好的解码性能和更少的功耗。

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