TY - GEN
T1 - A Class of Low-Complexity Codes Based on Doubly Recursive Block Markov Superposition Transmission
AU - Zhao, Shancheng
AU - Ma, Xiao
AU - Huang, Qin
AU - Bai, Baoming
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/15
Y1 - 2018/8/15
N2 - In this paper, we introduce the doubly recursive block Markov superposition transmission (DrBMST) of short code. An important characteristic of DrBMST codes is that the degrees of the constraint nodes in their normal graphical realizations are at most three. As a result, DrBMST codes can be decoded with low complexity. We propose to use an enlarged code ensemble to analyze the performance of DrBMST under windowed maximum likelihood decoding. Further, the extrinsic information transfer (EXIT) chart analysis is used to study the iterative decoding thresholds of DrBMST code ensembles. The EXIT analysis shows that the iterative decoding thresholds of DrBMST code ensembles are comparable to those of the BMST codes. We have also compared the error performance and the decoding complexity of finite-length DrBMST codes with regular spatial-coupled low-density parity-check (SC-LDPC) codes under equal decoding latency. The comparison results show that the DrBMST code performs about 0.1 dB better than a (4, 8)-regular SC-LDPC code, but with lower computational complexity.
AB - In this paper, we introduce the doubly recursive block Markov superposition transmission (DrBMST) of short code. An important characteristic of DrBMST codes is that the degrees of the constraint nodes in their normal graphical realizations are at most three. As a result, DrBMST codes can be decoded with low complexity. We propose to use an enlarged code ensemble to analyze the performance of DrBMST under windowed maximum likelihood decoding. Further, the extrinsic information transfer (EXIT) chart analysis is used to study the iterative decoding thresholds of DrBMST code ensembles. The EXIT analysis shows that the iterative decoding thresholds of DrBMST code ensembles are comparable to those of the BMST codes. We have also compared the error performance and the decoding complexity of finite-length DrBMST codes with regular spatial-coupled low-density parity-check (SC-LDPC) codes under equal decoding latency. The comparison results show that the DrBMST code performs about 0.1 dB better than a (4, 8)-regular SC-LDPC code, but with lower computational complexity.
KW - Block Markov superposition transition (BMST)
KW - Block-oriented convolutional code
KW - SC-LDPC codes
KW - Spatial coupling
UR - https://www.scopus.com/pages/publications/85052488703
U2 - 10.1109/ISIT.2018.8437683
DO - 10.1109/ISIT.2018.8437683
M3 - 会议稿件
AN - SCOPUS:85052488703
SN - 9781538647806
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1365
EP - 1369
BT - 2018 IEEE International Symposium on Information Theory, ISIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Symposium on Information Theory, ISIT 2018
Y2 - 17 June 2018 through 22 June 2018
ER -