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Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 – December 1, 2019, Proceedings, Part I

Research Article

Underwater Acoustic Channel Estimation Based on Signal Cancellation

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  • @INPROCEEDINGS{10.1007/978-3-030-41114-5_16,
        author={Junkai Liu and Yangze Dong and Gangqiang Zhang and Junqing Zhang},
        title={Underwater Acoustic Channel Estimation Based on Signal Cancellation},
        proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part I},
        proceedings_a={CHINACOM},
        year={2020},
        month={2},
        keywords={Underwater acoustic channel Matched filtering Parameters inversion Signal cancellation Channel correction},
        doi={10.1007/978-3-030-41114-5_16}
    }
    
  • Junkai Liu
    Yangze Dong
    Gangqiang Zhang
    Junqing Zhang
    Year: 2020
    Underwater Acoustic Channel Estimation Based on Signal Cancellation
    CHINACOM
    Springer
    DOI: 10.1007/978-3-030-41114-5_16
Junkai Liu1,*, Yangze Dong1, Gangqiang Zhang1, Junqing Zhang1
  • 1: National Key Laboratory of Science and Technology on Underwater Acoustic Antagonizing
*Contact email: Junkai_LIU726@163.com

Abstract

Aiming at the requirement of underwater information security transmission, the security of encryption key generation and distribution in underwater acoustic communication is concerned. Key generation technology based on underwater acoustic channel (UAC) estimation can improve the security and real-time generation of encryption keys. In this paper, the idea of estimating the multipath structure of UAC is to retrieve the arrival signal by acquiring the parameters of larger energy Eigen-ray from real arrival signal, and to eliminate the arrival signal of larger energy Eigen-ray path from the real signal through signal cancellation, so as to eliminate the influence of side lobes of larger energy signal to arrival signals of other Eigen-ray path, to improve the estimation performance of multipath structure in underwater acoustic channel. The simulation and experimental results show that the improved algorithm can estimate the multipath structure of underwater acoustic channel more accurately and provide support for the subsequent underwater information security transmission.

Keywords
Underwater acoustic channel Matched filtering Parameters inversion Signal cancellation Channel correction
Published
2020-02-27
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-41114-5_16
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