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基于Speex信构分离和置信传播的运动水声通信

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针对水声语音信号受快变信道影响引起的传输可靠性差的问题,提出基于 Speex信构分离和置信传播的运动水声通信技术,该技术由语音信号处理和数字通信两部分构成.在语音信号处理部分,基于 Speex算法,将整帧分成多个子帧,利用合成分析技术对子帧进行编码,并将语音信号的结构信息与内容信息进行分离,只传输语音内容信息,使得语音信息的压缩比由 7.60 提升至 8.42,提高了传输效率;利用接收参数计算激励信号,并通过合成滤波器重构语音信号.在数字通信部分,基于叠加训练(ST)方案,提高对时变水声信道的跟踪能力;基于置信传播,采用双向信道估计(BCE)算法,实现对每个短块的精准信道估计.将 Speex算法、ST 方案、BCE算法和Turbo均衡相结合,构建水声语音通信系统,提高水声语音信号传输的可靠性.通过仿真和海上试验验证了该技术的有效性.
Moving Underwater Acoustic Communication Based On Speex Framework Separation and Confidence Propagation
Aiming at the problem of poor transmission reliability of underwater acoustic voice signal,a moving underwater acoustic communication technology based on the Speex algorithm and confidence propagation was proposed.The technology consisted of two parts,compression and reconstruction of the voice signal and digital communication.In voice signal processing,the structure of the speech signal was separated from the informa-tion.The Speex algorithm was used to divide the whole frame into multiple subframes,and the subframes were encoded by the synthesis analysis technique.The structure of the speech signal was separated from the informa-tion,and only the voice information was transmitted.The compression ratio of the voice information was in-creased from 7.60 to 8.42,which improved the transmission efficiency.The excitation signal was calculated by the receiving parameters,and the speech signal was reconstructed by the synthetic filter.In digital communica-tion,the superimposed training(ST)scheme was adopted to improve the tracking ability of time-varying under-water acoustic channels.Based on confidence propagation,the bidirectional channel estimation(BCE)algorithm was used to achieve accurate channel estimation for each segment.Moreover,the Speex algorithm,ST scheme,BCE algorithm,and Turbo equalization were combined to build an underwater acoustic voice communication sys-tem,which improved the reliability of underwater acoustic voice signal transmission.Finally,the effectiveness of the proposed technique was verified by computer simulation and experimental results with horizontal distance of 5.5 km between the transmitter and receiver in Jiaozhou Bay.

Speexsuperimposed training(ST)confidence propagationbidirectional channel estimation(BCE)turbo equalization

冯向超、倪秀辉、巩小东、孟雍祥、梁俊燕、杜洋

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齐鲁工业大学(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

山东省海洋仪器仪表科技中心有限公司,山东 青岛 266005

青岛理工大学信息与控制工程学院,山东 青岛 266525

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Speex算法 叠加训练(ST)方案 置信传播 双向信道估计(BCE)算法 Turbo均衡

青岛市关键技术攻关及产业化示范类项目山东省重点研发计划项目山东省科学院海洋仪器仪表研究所培养基金项目

22-3-3-hygg-8-hy2022CXGC020409HYPY202110

2024

探测与控制学报
中国兵工学会 西安机电信息研究所 机电工程与控制国家级重点实验室

探测与控制学报

CSTPCD北大核心
影响因子：0.267
ISSN：1008-1194
年,卷(期)：2024.46(3)