TY - GEN
T1 - Perturbed Derivative Decoding Based on Ordered Statistics for Cyclic Codes
AU - Huang, Qin
AU - Yu, Shuyan
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - It shows in [1], [2] that the performance of ordered statistics decoding (OSD) can be improved by derivative decoding (DD) for cyclic codes. Since error bits with high reliabilities may result in erroneous re-encoding, this paper proposes to further enhance DD-OSD by introducing perturbations on control band. Aided by the detection capability of cyclic codes on voted estimates of DD, the output decision is chosen sequentially from estimates given by different perturbations. Simulation results show that it can achieve 1.1 dB gain over DD-OSD for extended Bose-Chaudhuri-Hocquenghem codes, and performs closely to maximum likelihood decoding with moderate complexity.
AB - It shows in [1], [2] that the performance of ordered statistics decoding (OSD) can be improved by derivative decoding (DD) for cyclic codes. Since error bits with high reliabilities may result in erroneous re-encoding, this paper proposes to further enhance DD-OSD by introducing perturbations on control band. Aided by the detection capability of cyclic codes on voted estimates of DD, the output decision is chosen sequentially from estimates given by different perturbations. Simulation results show that it can achieve 1.1 dB gain over DD-OSD for extended Bose-Chaudhuri-Hocquenghem codes, and performs closely to maximum likelihood decoding with moderate complexity.
UR - https://www.scopus.com/pages/publications/105029015557
U2 - 10.1109/ITW62417.2025.11240295
DO - 10.1109/ITW62417.2025.11240295
M3 - 会议稿件
AN - SCOPUS:105029015557
T3 - 2025 IEEE Information Theory Workshop, ITW 2025
BT - 2025 IEEE Information Theory Workshop, ITW 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE Information Theory Workshop, ITW 2025
Y2 - 29 September 2025 through 3 October 2025
ER -