@inproceedings{fa27b7fa6c544656947288a9dda3fe1d,
title = "Joint Equalization and Raptor Decoding for Underwater Acoustic Communication",
abstract = "To improve the link reliability and solve the problem of long feedback delay, a joint equalization and Raptor decoding (JERD) algorithm is proposed for underwater acoustic communication. Compared with the existing approaches, the Raptor code is adopted. The Raptor code is consisted of LDPC code generated by Mackey-1A and weakened LT code, and Raptor decoding adopts the global-iteration algorithm. The detector is iteratively adapted by switching soft information between the equalization and Raptor decoding at the Turbo processing stage. Simulation results validate the feasibility and show the advantages of the proposed algorithm against the existing approaches.",
keywords = "Joint equalization and Raptor decoding, Raptor codes, Underwater acoustic communication",
author = "Miao Ke and Zhiyong Liu and Xuerong Luo",
note = "Publisher Copyright: {\textcopyright} 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 2nd EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2020 ; Conference date: 19-12-2020 Through 20-12-2020",
year = "2021",
doi = "10.1007/978-3-030-69066-3\_12",
language = "英语",
isbn = "9783030690656",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "126--135",
editor = "Shuo Shi and Liang Ye and Yu Zhang",
booktitle = "Artificial Intelligence for Communications and Networks - 2nd EAI International Conference, AICON 2020, Proceedings",
address = "德国",
}