基于VMD和HSA的水声跳频信号时频分析方法

针对水声通信中低信噪比条件下的水声跳频信号检测和参数估计问题,提出了一种新的基于变分模态分解(VMD)和希尔伯特谱分析(HSA)相结合的水声跳频信号时频分析方法。VMD是一种新开发的自适应信号分解技术,可以完全不递归地将多分量的信号分解成许多准正交的固有模式函数。首先重点分析了VMD算法,然后简单介绍了HSA方法,最后将VMD和HSA相结合的方法应用于水声跳频信号分析。利用数值模拟的水声跳频信号进行实验仿真,结果表明本文的方法可以获得高清晰度、高聚集性的时频图。

Time-frequency analysis of underwater acousticfrequency-hopping signals based on VMD and HAS

To solve the problem of underwater frequency-hopping signal detection and parameter estimation in low SNR for underwater communication, we proposed a new underwater acoustic frequency hopping signal time-frequency analysis method based on the combination of variational mode decomposition (VMD) and Hilbert spectral analysis (HSA). VMD is a newly developed adaptive signal decomposition technique, can completely non-recursively decompose multi-component signal into a number of quasi-orthogonal intrinsic mode functions. Firstly, the paper analyzes the VMD algorithm, then introduces the HSA method, and finally the methods combined VMD with HSA is applied to analysis underwater acoustic frequency hopping signal. Using numerical simulation of underwater acoustic FH signal of simulation experiments, the results show that the method can obtain high definition and high aggregation in time frequency diagram.