基于改进HHT的水中爆炸冲击波信号时频特性分析方法

Time-frequency representation analysis in underwater explosive shock wave signals based on an improved HHT method

根据水中爆炸冲击波信号的特征,利用希尔伯特-黄变换(HHT)处理非平稳信号的优势,提出了一种结合小波分解及相关系数筛选的改进HHT方法。该方法首先通过小波分解将信号分为高频部分和低频部分,然后利用相关系数对固有模态函数(IMF)分量进行筛选。理论与实践表明,改进的HHT方法能够有效、准确地对水中爆炸冲击波信号的时频信息进行分析。

Based on the characters of underwater explosion shock waves,an improved Hilbert-Huang transform(HHT) method was proposed by taking the advantage of HHT in processing non-stationary signals and combining wavelet decomposition and correlation coefficient filtering.In the improved HHT method,first signals are divided into high-frequency signals and low-frequency signals by wavelet decomposition,and then intrinsic mode function(IMF) components are filtered by correlation coefficients.Results show that the improved HHT method can be applied to effectively analyze the time-frequency information of underwater explosion shock wave signals.