Joint Equalization and Raptor Decoding for Underwater Acoustic Communication

Miao Ke; Zhiyong Liu; Xuerong Luo

Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings

Research Article

Joint Equalization and Raptor Decoding for Underwater Acoustic Communication

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@INPROCEEDINGS{10.1007/978-3-030-69066-3_12,
    author={Miao Ke and Zhiyong Liu and Xuerong Luo},
    title={Joint Equalization and Raptor Decoding for Underwater Acoustic Communication},
    proceedings={Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings},
    proceedings_a={AICON},
    year={2021},
    month={7},
    keywords={Underwater acoustic communication Raptor codes Joint equalization and Raptor decoding},
    doi={10.1007/978-3-030-69066-3_12}
}

Miao Ke
Zhiyong Liu
Xuerong Luo
Year: 2021
Joint Equalization and Raptor Decoding for Underwater Acoustic Communication
AICON
Springer
DOI: 10.1007/978-3-030-69066-3_12

Miao Ke¹, Zhiyong Liu¹, Xuerong Luo¹

1: Harbin Institute of Technology

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: Underwater acoustic communication Raptor codes Joint equalization and Raptor decoding

Published: 2021-07-16
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-69066-3_12