TY - GEN
T1 - Covariance Evolution for Spatially 'Mt. Fuji' Coupled LDPC Codes
AU - Nakahara, Yuta
AU - Matsushima, Toshiyasu
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Numbers JP16K00195, JP16K00417, JP17K00316, JP17K06446, JP18K11585
Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - A spatially 'Mt. Fuji' coupled low-density parity check (LDPC) ensemble is a modified version of the original spatially coupled (SC) LDPC ensemble. Its desirable properties are first observed in experimentally. The decoding error probability in the error floor region over the binary erasure channel (BEC) is theoretically analyzed later. In this paper, as the last piece of the theoretical analysis over the BEC, we analyze the decoding error probability in the waterfall region by modifying the covariance evolution which has been used to analyze the original SC-LDPC ensemble.
AB - A spatially 'Mt. Fuji' coupled low-density parity check (LDPC) ensemble is a modified version of the original spatially coupled (SC) LDPC ensemble. Its desirable properties are first observed in experimentally. The decoding error probability in the error floor region over the binary erasure channel (BEC) is theoretically analyzed later. In this paper, as the last piece of the theoretical analysis over the BEC, we analyze the decoding error probability in the waterfall region by modifying the covariance evolution which has been used to analyze the original SC-LDPC ensemble.
KW - covariance evolution
KW - finite-length code performance
KW - spatially coupled codes
UR - http://www.scopus.com/inward/record.url?scp=85081110284&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85081110284&partnerID=8YFLogxK
U2 - 10.1109/ITW44776.2019.8989366
DO - 10.1109/ITW44776.2019.8989366
M3 - Conference contribution
AN - SCOPUS:85081110284
T3 - 2019 IEEE Information Theory Workshop, ITW 2019
BT - 2019 IEEE Information Theory Workshop, ITW 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Information Theory Workshop, ITW 2019
Y2 - 25 August 2019 through 28 August 2019
ER -