基于希尔伯特-黄变换的激光微多普勒信号分析与特征提取

彭明金; 李智

doi:doi:10.3788/cjl201340.0809004

中国激光, 2013, 40 (8): 0809004, 网络出版: 2013-07-09

基于希尔伯特-黄变换的激光微多普勒信号分析与特征提取

Analysis and Feature Extraction of Laser Micro-Doppler Signatures Based on Hilbert-Huang Transforms

论文大纲

彭明金 ^*李智

作者单位

四川大学电子信息学院，四川成都 610065

摘要

在振动目标的激光微多普勒信号分析中，基于联合时频谱的分析方法为目标的检测、分类和识别提供有用信息，得到广泛运用。对于一般非线性和非平稳信号，传统的时频分析方法能有效地提取信号特征，但在强背景噪声和弱调制信道条件下，具有很大局限性。引入希尔伯特-黄变换(HHT)作为一种新的微多普勒信号分析方法，分析在强背景噪声和弱调制等信道下，HHT在微多普勒信号中的特征提取。通过Matlab软件仿真，与平滑伪Wigner-Ville分布(SPWVD)比较，证明了HHT在微多普勒信号分析和特征提取中的有效性。

Abstract

In the laser micro-Doppler signature analysis of vibrating targets, the joint time-frequency methods can provide useful information for target detection, classification and recognition. The analysis of the general nonlinear and non-stationary signal with traditional time-frequency analysis method can effectively extract signal characteristics. But there are great limitations in the strong background noise and weak modulation channel conditions. Hilbert-Huang transform (HHT) is employed as a new approach in micro-Doppler analysis. Simulation results in Matlab software show that it can achieve better performance than smoothed pseudo Wigner-Ville distribution (SPWVD) in different channel conditions.

参考文献

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彭明金, 李智. 基于希尔伯特-黄变换的激光微多普勒信号分析与特征提取[J]. 中国激光, 2013, 40(8): 0809004. Peng Mingjin, Li Zhi. Analysis and Feature Extraction of Laser Micro-Doppler Signatures Based on Hilbert-Huang Transforms[J]. Chinese Journal of Lasers, 2013, 40(8): 0809004.

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