基于局域均值分解的膛内横向微动特征提取方法

In-bore Transverse Swing Feature Extraction Method Based on Local Mean Decomposition

针对弹丸膛内横向摆动产生附加的微多普勒调制项问题,提出了一种基于局域均值分解(Local mean decomposition,LMD)的调制信号分离和特征提取方法。采用LMD方法,将复杂调制信号自适应地分解成若干个具有物理意义的瞬时频率的单分量信号,对每个单分量解调求出瞬时幅值与瞬时频率,获得原信号的调制信息。通过仿真信号验证了LMD处理多分量调幅-调频信号的有效性,将LMD方法应用于膛内运动弹丸实测信号的分析,结果表明该方法能完整提取出弹丸膛内横向微动产生的微多普勒频率调制特征。

In terms of the problem that the transverse swing of micro-Doppler modulation items, a method of modulation signal on the local mean decomposition （LMD）is proposed here. modulation signals adaptively into some mono-components a projectile in bore produces additional separation and feature extraction based The method decomposes the complex with physical meaning instantaneous frequency, demodulates each mono-component separately, and obtains the modulation information about instantaneous amplitude and instantaneous frequency of the original signal. The effectiveness of the LMD method is validated through the simulated signals and realistically measured signals of projectile motion in bore. Experimental results show that the proposed method can completely extract the micro- Doppler frequency modulation characteristics during the transverse swing of in-bore projectile.