Accurate estimation of low-complexity bidirectional underwater acoustic channels based on fast information collection and virtual training&nbsp;sequence

CHEN Jianjun, QU Yadong, LANG Junyan, SUN Dongxue, LI Sen

doi:10.16411/j.cnki.issn1006-7736.2024.03.002

2024 , Vol. 50 >Issue 3: 13 - 22

DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2024.03.002

Accurate estimation of low-complexity bidirectional underwater acoustic channels based on fast information collection and virtual training sequence

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(1.Information and Control Engineering College, Qingdao University of Technology, Qingdao 266525, China;2.Information Science and Technology College, Dalian Maritime University, Dalian 116026, China)

Online published: 2024-03-28

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Abstract

Aiming at the difficulty of accurately obtaining time-varying channel state information in moving underwater acoustic communication with low complexity, a low-complexity bidirectional underwater acoustic channel estimation algorithm based on fast information collection and virtual training (FIC-VT) was proposed. A superimposed training (ST) scheme was adopted to linearly superimpose a symbol sequence to ensure continuous transmission of the training sequence and improve the time-varying channel tracking capability. Based on belief propagation, the FIC-VT algorithm was proposed,which divided a block of data into multiple short blocks, each of which was divided into multiple sub-segments, and by a fast information collection algorithm, the channel information of multiple sub-segments was fused to obtain low-complexity local channel estimates for each short block. Turbo equalization was employed to virtualize the estimated symbol sequence into a virtual training sequence (VT), and through iterative calculation, the proposed algorithm eventually achieves low-complexity and accurate estimation of time-varying underwater acoustic channels. The proposed algorithm is implemented by using fast Fourier transform(FFT), with computational complexity per tap at a logarithmic level. The effectiveness of the proposed algorithm is verified through computer simulation, pool motion communication experiments, and Jiaozhou Bay motion communication experiments.

Key words：

time-varying underwater acoustic channel

; low complexity bidirectional channel estimation; fast information collection; virtual training sequence;superimposed training;fast Fourier transform（FFT）

Cite this article

CHEN Jianjun, QU Yadong, LANG Junyan, SUN Dongxue, LI Sen . Accurate estimation of low-complexity bidirectional underwater acoustic channels based on fast information collection and virtual training sequence[J]. Journal of Dalian Maritime University, 2024 , 50(3) : 13 -22 . DOI: 10.16411/j.cnki.issn1006-7736.2024.03.002

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