Feature extraction from non-stationary ampltitude modulated broad-band signal using the Hilbert-Huang Transform
-
摘要: 宽带调制信号在调制源的工作状态产生变化时，信号的调制频率、调制深度随时间变化，传统解调制方法难以获取短时变化的调制特征。针对非平稳调制特点，利用Hilbert-Huang Transform（HHT）数据自适应特性和高分辨率的时频分析能力以及数学形态滤波器（MMF）对信号的降噪性能，提出了一种利用HHT提取宽带幅度调制信号的调制特征方法（MH_DEMON）。MH_DEMON中，检波信号经过MMF的预处理，HHT的经验模态分解（EMD）和Hilbert变换，提取目标瞬时调制频率。仿真数据和实际水声辐射噪声数据的实验分析表明，MH_DEMON能有效提取非平稳宽带幅度调制的特征，为目标调制源分类识别和运动状态分析提供了支持.Abstract: The traditional DEMON(Dectecion of Envelope Modulation on Noise) method is difficult to obtain the modulation characteristics when the signal modulation frequency or modulation depth changes with time. For non-stationary modulation characteristics, using Hilbert-Huang Transform (HHT) data adaptive features and high-resolution time-frequency analysis capabilities as well as mathematical morphology filter (MMF) on the signal noise reduction performance, a modified method “MH_DEMON” based on HHT and MMF is given. Simulation data and real acoustic radiated noise experimental data analysis shows that, MH_DEMON can extract non-stationary broadband amplitude modulation characteristics, which could suport both modulation source for the target classification and motion analysis.
-
Keywords:
- HHT /
- DEMON /
- EMD /
- modulation feature /
- MMF
-
计量
- 文章访问数: 596
- HTML全文浏览量: 15
- PDF下载量: 1655
下载:
