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研究了基于人工时反处理的水声信号盲解卷方法,并在此基础上提出了一种基于简正波模态分解的低频水声信号的盲解卷处理方法。该方法适用于浅海波导中垂直阵接收的远程低频水声信号的盲解卷处理。该方法首先从浅海中垂直阵接收的信号中提取(估计)出波导中传播的简正波模态函数信息,然后,根据估计的模态函数信息通过模态滤波来实现水声信道盲解卷处理。针对典型的浅海波导环境,进行了计算机仿真试验,结果表明:(1)远程低频条件下,模态分解方法可以从垂直阵接收的信号中提取出波导中有效传播的模态函数信息,因此这种方法解决了目前人工时反处理方法需要准确的模态函数先验信息的问题;(2)在一定带宽条件下,接收信号信噪比较低时,本文给出的这种基于模态滤波的盲解卷方法比人工时反处理具有更好的解卷性能。
A blind unwinding method based on artificial timed processing is studied. Based on this, a blind unwinding method based on normal mode decomposition is proposed. This method is suitable for the blind unwinding processing of long-range low-frequency underwater acoustic signals received by vertical arrays in shallow sea waveguides. The method first extracts (estimates) the normal mode modal function information propagating out of the waveguide from the signal received by the vertical array in the shallow sea and then implements the blind unwrapping process of the underwater acoustic channel by modal filtering based on the estimated modal function information. The simulation results show that: (1) Under the conditions of long-range and low-frequency, the modal decomposition method can extract the modal function information effectively propagating in the waveguide from the signal received by the vertical array. Therefore, this The method solves the problem that the prior artificial time-reversal method needs the accurate prior information of the modal function. (2) When the signal-to-noise ratio of the received signal is low under a certain bandwidth, this modal filter based on modal filtering The blind unwinding method has better unwinding performance than the manual time-reversal processing.