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基于虚拟训练序列的双向水声信道精准估计

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针对时变水声信道造成的严重多途干扰问题,提出基于虚拟训练序列的双向水声信道精准估计(Virtual Training Based Bidirectional Channel Estimation,VT-BCE)算法.基于叠加训练(Superimposed Training,ST)方案,将训练序列和符号序列线性叠加,使得训练序列和符号序列的信道信息一致,提高信号的跟踪能力;基于置信传播,双向信道估计(Bidirectional Channel Estimation,BCE)算法将一个数据块分成多个短块,利用整个数据块的信息估计当前短块信道,实现对当前短块的精准信道估计.将ST方案、BCE算法和信道均衡(频域)以迭代的方式相结合,使估计的符号序列可以作为信道估计的虚拟训练(Virtual Training,VT)序列,提升信道的估计性能,进而提高系统的解码性能.最后,通过计算机仿真和水池试验,验证了所提算法的有效性.
Bidirectional accurate estimation of underwater acoustic channel based on virtual training
A bidirectional accurate channel estimation algorithm based on virtual training(VT-BCE)is proposed in view of the multi-path interference problem caused by time-varying underwater acoustic channels.The superimposed train-ing(ST)scheme is used,where the training sequence and the symbol sequence are linearly superimposed,so that the chan-nel information of the training and symbol sequences is consistent and the tracking ability of the signal is improved.Based on confidence propagation,a bidirectional channel estimation(BCE)algorithm is developed,where a data block is divided into several segments,using the information of the whole data block to estimate the current segment channel to achieve ac-curate channel estimation of the current segment.The ST scheme,the BCE algorithm,and channel equalization(frequency domain)are combined in an iterative way,so that the estimated symbol sequence can be used as virtual training sequence for channel estimation to improve the estimation performance of the channel and thus the decoding performance of the system.Finally,the validity of the proposed algorithm is verified by computer simulation and pool experiment.

time-varying underwater acoustic channelssuperimposed trainingconfidence propagationaccurate bidirectional channel estimationvirtual training

梁俊燕、乔培玥、秦正昌、巩小东、倪秀辉

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青岛理工大学信息与控制工程学院青岛市水声通信及探测装备技术创新中心,山东青岛 266525

山东省科学院海洋仪器仪表研究所,山东青岛 266318

乌克兰国立技术大学基辅工学院,乌克兰基辅03056

时变水声信道 叠加训练方案 置信传播 双向信道精准估计 虚拟训练序列

国家自然科学基金山东省自然科学基金面上项目山东省自然科学基金面上项目青岛市源头创新计划-青年专项青岛市关键技术攻关及产业化示范类项目

61771271ZR2020MF010ZR2020MF00119-6-2-4-cg22-3-3-hygg-8-hy

2024

10.3404/j.issn.1672-7649.2024.07.020

舰船科学技术
中国舰船研究院,中国船舶信息中心

舰船科学技术

CSTPCD北大核心
影响因子：0.373
ISSN：1672-7649
年,卷(期)：2024.46(7)
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