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基于小波分析的水声通信技术研究及其硬件实现

Research and Realization of Underwater Acoustic Communication Based on Wavelet Analysis

【作者】 李杰

【导师】 项基;

【作者基本信息】 浙江大学 , 系统分析与集成, 2017, 硕士

【摘要】 随着海洋的大力开发,同时国家对国防建设的重视及其发展,利用水声通信技术来传递信息的需求大为增加。水声通信以声波为载体来进行数据或信息的传输。水声通信技术不仅仅在军事方面应用越来越广泛,在民用方面也得到了许多应用,带来了许多便利与好处。本课题的研究内容是探究有效的水声通信技术,并设计其硬件电路系统,在水下航行器水下通信领域具有重要的意义和实际应用价值。本文主要工作包括以下三方面:(1)基于小波分析的水声信号的解调技术。通过小波变换对PSK信号和FSK信号进行特征提取,而后对特征加以分析,最后完成解调还原出原始信号。(2)设计水声调制及解调电路,以此驱动水声换能器进行工作,建立硬件平台,并进行水声信号发射接收实验。(3)在硬件平台的基础上,进行水声通信实验,对采集到的水声信号数据通过文中提出的小波分析方法进行处理和分析。

【Abstract】 These days,with the development of marine research and national defense construction,the demand for using underwater acoustic communication technology to transmit information has greatly increased.Underwater acoustic communication uses sound waves as a carrier,and carries out data or information transmission by means of ocean channels.Underwater acoustic communication technology is not only applied more and more widely in the military,in civilian has also been a number of applications,bringing a lot of convenience and benefits.The research of this subject is to explore effective underwater acoustic communication technology and design its hardware circuit system,which is of great significance and application value in underwater vehicle underwater communication.The main content contains the following three aspects:(1)Demodulation technology of underwater acoustic signals based on wavelet analysis.The feature of signal is extracted by wavelet transform,then the feature is analyzed and finally the original signal is reconstructed.(2)We design underwater acoustic modulation and demodulation circuit,in order to drive underwater acoustic transducer work.Also we establish of the hardware platform and carry out the underwater acoustic signal transmission and reception experiments.(3)On the basis of the hardware platform,underwater acoustic communication experiment is carried out,and the collected underwater acoustic signal data are processed and analyzed by the wavelet analysis method prposed in the paper.

  • 【网络出版投稿人】 浙江大学
  • 【网络出版年期】2017年 07期
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