应用希尔伯特黄变换的水下目标特征提取

针对传统时频分析方法的水下目标特征提取各有其局限,采用了希尔伯特黄变换方法用于水下目标特征提取.仿真与实验数据的处理结果表明,希尔伯特黄变换方法对于信号的时频特性具有较高的分辨能力,希尔伯特边际谱能够清晰的突出目标弹性成分;希尔伯特谱能有效地展现目标的亮点结构,时频分辨力高于小波变换.研究表明混响具有与目标信号明显不同的希尔伯特谱特征,希尔伯特谱可以有效抑制混响.结果表明希尔伯特黄变换方法是一种有效的水下目标特征提取方法.

Underwater target feature extraction using Hilbert-Huang transform

To deal with the problem of ineffective extraction in underwater target feature extraction methods based on traditional time-frequency analysis,a new time-frequency analysis method,the Hilbert-Huang Transform(HHT) was applied.Both simulation and experimental data analysis revealed that HHT has high resolution ability.The Hilbert marginal spectrum can highlight the elastic parts of the target.The Hilbert spectrum shows the highlighted structure of targets,as well as more accurate than Wavelet Transform in ti...