摘要
采用基于能量阈值函数的小波方法,对浅水多径信号进行消噪处理;从水声多径信道模型出发,利用小波能有效区分信号中的突变部分和噪声的优点,设计了一种基于能量阈值函数的消噪方案,即通过能量的门限阈值形式对小波系数进行处理,然后对信号进行重构即可达到消噪的目的;利用MATLAB仿真了有、无多径时消噪效果,同时将该消噪方案与湖的水声传播参数结合,进行了实际水库多径传播信号的消噪处理试验;试验结果表明,基于能量阈值函数的水声多径信号小波去噪方法不仅能够减少信号的丢失,而且能够恢复有用信号的小波系数,减少有用信息的丢失,确保重构后的信号不失真,提高信噪比,应用于水声通信中多径信道的信号去噪效果很好,体现了文中算法的有效性和优越性。
Wavelet denoising based on energy threshold function was investigated to provide an effective solution for the underwater acoustic multi-path signals. Denoising was first applied to preprocess the received signals. On the base of wavelet＇ s ability to distinguish between signal mutation and noise, this paper gave wavelet thresholding and reconstructing technique and the performance of this method was analyzed rigorously. Combined with MATLAB simulation and reservoir acoustic transmit parameters, it was proved that the method can etffectively restore wavelet coefficients, reduce the losses of useful information and increase SNR value, which demonstrated validity as well as advantage in underwater acoustic communication.
出处
《计算机测量与控制》
CSCD
北大核心
2009年第10期2051-2054,共4页
Computer Measurement &Control
基金
船舶工业预研基金(06J4.5.1)
关键词
消噪
小波系数
能量阈值
小波重构
水声多径信号
denoising
wavelet coefficients
energy threshold
wavelet reconstruction
underwater multi-paths signals
