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Volume 42 Issue 8
Aug.  2020
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Haowei WU, Xiaofei WU, Runqiu ZOU, Jinglan OU. A Layered Decoding Algorithm for Spatially-coupled LDPC Codes[J]. Journal of Electronics & Information Technology, 2020, 42(8): 1881-1887. doi: 10.11999/JEIT190626
Citation: Haowei WU, Xiaofei WU, Runqiu ZOU, Jinglan OU. A Layered Decoding Algorithm for Spatially-coupled LDPC Codes[J]. Journal of Electronics & Information Technology, 2020, 42(8): 1881-1887. doi: 10.11999/JEIT190626

A Layered Decoding Algorithm for Spatially-coupled LDPC Codes

doi: 10.11999/JEIT190626
Funds:  The Advanced Research Project of Civil Aerospace Technologies in 13th Five-year Plan (D010201), The Scholarship Council of China (201908505018), The Special Foundation for Chongqing Science and Technology Talent (cstc2018zdcy-yszxX0001, cstc2017zdcy-yszx0008)
  • Received Date: 2019-08-14
  • Rev Recd Date: 2020-03-14
  • Available Online: 2020-04-23
  • Publish Date: 2020-08-18
  • In order to solve the problem of the long decoding delay for the Spatially-Coupled Low-Density Parity-Check (SC-LDPC) code with long code length, a Layered Sliding Window Decoding (LSWD) algorithm is proposed. By exploring the quasi-cyclic characteristics of the SC-LDPC sub-codeblock and the hierarchical structure of the check matrix in the sliding window, the part of check matrix in the sliding window is layered to optimize the message transfer between two neighbor layers, with the aim of accelerating the convergence of the iterative procedure and reducing the number of decoding iterations. Simulation and analysis results show that the number of iterations in the proposed LSWD algorithm is less than that in the SWD, under the same Signal-to-Noise Ratio (SNR) and the bit error ratio. In the high SNR region, especially, the number of iterations in the proposed LSWD is about half of that in the SWD, hence the global decoding delay of the former is effectively shorten. In addition, the decoding performance of the LSWD algorithm is better than the SWD algorithm under the same number of decoding iterations, and the overall computational complexity is slightly increased.

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